Being Serious about Europe’s Place in the World? The Red (Team) Analysis Weekly –
7 June 2018

Each week our scan collects weak – and less weak – signals…

Editorial

Although the G7 summit is drawing near (starting 8 June 2018), it does not generate an overwhelming interest in terms of crowdsourced signals. Yet, German Chancellor Angela Merkel called for Europe to “Step Up in `World Being Reorganized’“, while the “EU College of Commissioners decided on Wednesday to adopt a tit-for-tat duties strategy” to answer the U.S. tariffs imposed on steel and aluminium, as some wonder if we could not be heading towards a G6 (see Economic diplomacy brief).

Could these, including the lack of interest, be indeed strong signals that the world is obviously being reorganised and that older institutions such as the G7 are increasingly becoming obsolete? In such an emerging new world, the place of Europe and the EU remains a critical uncertainty.

As for the “tit for tat” answer to American tariffs, the 6 June 2018 official EU press release states that

“The EU will therefore exercise its rights immediately on US products valued at up to €2.8 billion of trade. The remaining rebalancing on trade valued at €3.6 billion will take place at a later stage – in three years’ time or after a positive finding in WTO dispute settlement if that should come sooner.”

Thus, the EU – and consequently Europe – answers on 43,75% of the blow it received from the U.S…. well, not sure this is a very strong answer that may be taken as retaliation, not sure it can be preemptive of another blow.

Meanwhile, so far, it would seem that Chancellor Merkel “called for joint action on security and migration”. Considering deep divisions on migration, while NATO and willingness to pay for security and defence may continue standing in the way of a true European defence, the road ahead could be long.

Thus, behind the uncertainty regarding the place of Europe in the world and thus its power, we could have two fundamental questions that Europeans need to ponder – and solve – sooner rather than later:  is there the will power and is there the capabilities to rise to the challenge? At the end of the day, could Europe be also fighting not to be forgotten or being made obsolete ?

For other weak (and strong) signals, read below our latest complimentary Weekly horizon scanning…

Each section of the scan focuses on signals related to a specific theme: world (international politics and geopolitics); economy; science; analysis, strategy and futures; AI, technology and weapons; energy and environment. However, in a complex world, categories are merely a convenient way to present information, when facts and events interact across boundaries.

Read the 7 June 2018 scan

As polarisation rises, not only internationally but also domestically within many countries, weak signals are not only “direct”, describing facts, but also, increasingly, “indirect”, i.e. perspectives on reality providing more indications about the positioning of actors, the rising tension(s) and uncertainty, than about facts. The Weekly also aims at monitoring this rising tension to evaluate the possibility for future overt crises, and the underlying corresponding dynamics.

The Weekly is the complimentary scan of The Red (Team) Analysis Society. It focuses on political and geopolitical uncertainty, on national and international security issues.

The information collected (crowdsourced) does not mean endorsement but points to new, emerging, escalating or stabilising problems and issues.

If you wish to consult the scan after the end of the week period, use the “archives” directly on The Weekly.

Featured image: Antennas of the Atacama Large Millimeter/submillimeter Array (ALMA), on the Chajnantor Plateau in the Chilean Andes. The Large and Small Magellanic Clouds, two companion galaxies to our own Milky Way galaxy, can be seen as bright smudges in the night sky, in the centre of the photograph. This photograph was produced by European Southern Observatory (ESO), ESO/C. Malin [CC BY 4.0], via Wikimedia Commons.

Signal: The Pentagon Researches Artificial Intelligence Systems for Nuclear Missile Launch Anticipation

Impact on Issues and Uncertainties

➚➚ Escalating AI-power race notably between the U.S. on the one hand, China and in a lesser way Russia on the other.

➚➚ Redrawing of the power map of the world along AI-power status lines

➚➚ Rising uncertainty regarding the emerging AI-world

Possible widening of the range of response, including non lethal one to nuclear threat
➚ Need to revise and rethink nuclear deterrence, nuclear preemptive strikes

➚ Rebalance of nuclear power according to presence or not of efficient nuclear missile launch detection AI-systems

U.S.  influence and capability in terms of A.I.
➚➚ U.S. influence becoming possibly unchecked
➚ U.S. capability to stem a possible decline and as a result
➘ U.S. feeling threatened, which is possibly a factor of global stabilisation

 Potential for escalating tension U.S. – China

Facts and Analysis

According to Phil Stewart for Reuters, the U.S. Pentagon would be carrying out an array of research in various artificial intelligence  (AI) systems aiming at anticipating nuclear missile launches and thus better protecting the U.S.

The aim would be to allow for very early detection, for example through tracking very weak signals, to permit developing appropriate response across government, including diplomatically.

Related

Our ongoing series: The Future Artificial Intelligence – Powered World

“Some officials believe elements of the AI missile program could become viable in the early 2020s”.

Only one such research effort – among the host of those endeavoured – could be identified in next year budget as reaching $83 million, i.e. tripled compared with previous budgets.

Considering lingering or heightening fears to see the use of AI entering the nuclear weapons field, and precipitating nuclear havoc, final decision about action would remain vested in humans.

As a result, and as foreseen, the AI-power race takes shape and spreads. Furthermore, this is an example of how this AI-power race is increasingly likely to be played out, including in the conventional security field, indeed in terms of Weapons of Mass Destruction (WMD). Once these AI systems are operational, strategy and doctrine will have to be revised. AI-capabilities in terms of nuclear missile launch detection may deeply alter the idea of Mutually Assured Destruction, while revisiting preemptive strikes: those benefiting from AI-systems may have such a superior advantage in terms of preemption, that the very possibility of retaliation could be denied or greatly reduce. Balance of Power would then be fundamentally altered.

Source and Signal

Original article on Reuters: The Pentagon has a secret AI program to find hidden nuclear missiles

Deep in the Pentagon, a secret AI program to find hidden nuclear…

WASHINGTON (Reuters) – The U.S. military is increasing spending on a secret research effort to use artificial intelligence to help anticipate the launch of a nuclear-capable missile, as well as track and target mobile launchers in North Korea and elsewhere.

 

Selected Related Bibliography

Edward Geist, Andrew J. Lohn, How Might Artificial Intelligence Affect the Risk of Nuclear War?, Rand, April 2018.

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Featured image: Pentagon satellite image, [Public domain], via Wikimedia Commons.

The Future of Iran’s Regional Role – The Islamic Revolution and Iran’s Political System

Trump’s decision to pull out of the Joint Comprehensive Plan of Action (JCPOA, better known as the Iran Nuclear Deal) is a highly destabilizing element in an already unstable regional scenario characterized by wars in Syria and Yemen, the never-ending Israeli-Palestinian question, the rift between Qatar and the other Gulf countries (chiefly Saudi Arabia and the United Arab Emirates), political uncertainty in Lebanon and socio-political tensions continuously threatening to tear Iraq apart. Iran is the perceived common denominator to all these issues, at least to a certain degree.

The crucial geopolitical role Teheran plays, together with the domestic problems it faces, lead us to wonder about the future of the Islamic Republic’s regional stance in the medium-term future (e.g. 3 to 5 years). This question is of crucial importance to foresee the future of such a pivotal region as the Middle East. In order to think about the future, however, we have to consider the past carefully, notably to identify crucial and acting factors and dynamics.

As we reviewed Iran’s pre-1979 history previously, this article will be therefore centred on the Islamic Republic of Iran founded by Ayatollah Khomeini in 1979 and its main aspects. Continue reading “The Future of Iran’s Regional Role – The Islamic Revolution and Iran’s Political System”

Signals: China Planetary 3D Strategy, Deep Sea Resources in the South China Sea

Impact on Issues and Uncertainties

➚➚ Uncertainty in the security and resource sectors for all actors, states and companies alike, involving a complete redrawing of the influence map, of the capabilities needed and relatedly of the strategies and policies to develop and implement.

 China’s influence
 China’s rise to top major power status
Resource insecurity of China

Tensions in the South-China Sea with the Philippines, Indonesia and Vietnam

Escalating Tension U.S. – China on the South China Sea
Escalating Tension U.S. – China

Facts and analysis

(see sources and references below in the third part)

Related

Extreme Environment Security

The Deep-Sea Resources Sigils Brief

The Deep-Sea Resources Sigils

China and the New Silk Road: From Oil Wells to the Moon… and Beyond

In April and May 2018, China has carried out successful deep-sea missions which indicate China’s willingness to develop its influence and use also to this extreme environment, among the four we monitor: the extremely cold in the North – the Arctic – and in the South – Antarctica, space, and the deep-sea. As a result, China shows a resolve to implement a truly planetary strategy not only located at the surface of the planet, somehow conceptualising the world in two dimensions, as with the Belt and Road Initiative (BRI), but also considering height and depth, thus in 3 dimensions, with space on the one hand, the deep-sea on the other.

Between 4 April and 16 May 2018, China endeavoured a month-long deep-sea exploration in the South China Sea, using a Canadian unmanned submarine, more precisely a Remotely Operated Platform for Ocean Science (ROPOS). Not only could the expedition transfer data in real-time and allow scientists and students to discover in real-time the new world of the deep-sea, but also it identified the location and nature of precious future resources. The exploration thus found: “the biggest ferromanganese nodules”,  which notably “contain nickel, chromium and manganese, minerals that are indispensable for military equipment, such as submarines, tanks and aerospace facilities,” as pointed out by a Chinese advisor to the Hainan Provincial Maritime Environment Protection Association. It also found “two ancient hydrothermal vents on the seafloor”, which fluids “provide[s] clues to the form of metals”.

Meanwhile, China is also developing its own manned and unmanned submersibles for the deep-sea, while developing and testing interoperability and communication.

For example, from 28 to 30 April 2018, “The manned deep-sea submersible Shenhai Yongshi, or Deep Sea Warrior, and unmanned submersible Haima, or Sea Horse, completed three joint deep-sea operations in the Haima cold springs in the South China Sea”. Here the resources targeted were natural gas hydrate, which could contribute to replace in the future oil and gas.  Estimates give 2020 as target date for first small-scale output and 2030 for large-scale commercial exploitation (The Independent).

Real exploitation of this deep-sea resource has already started in China, as, in 2017 the country is reported to have “extracted more than 300,000 cubic meters of combustible ice, a type of natural gas hydrate (People’s Daily)”.

Considering the location of the so-far identified main sources of natural gas hydrate, China, in the meantime, also calls for cooperation with the countries in the disputed region, namely the Philippines, Indonesia and Vietnam. We may estimate that China will probably develop here a strategy and related policies akin to the BRI.

As another example, on 23 April, “China’s self-developed 4,500-meter-level unmanned submersible Qianglong 3” (diving dragon) “conducted its first dive in the South China Sea”. The Qianglong series is “developed by the Chinese Academy of Sciences’ Shenyang Institute of Automation”. Among a host of improvements compared with previous versions, it is also meant to be much more silent, which could have direct consequences in terms of military espionage and submarine warfare.

Finally, China is reported to plan a new base located in Sanya for deploying manned and unmanned submersible vehicles in the South China Sea, which should be completed by 2019.

If China is seen as having to catch up in terms of submarine warfare according to Jane’s Defence/IHS Markit (Sputnik), it is making much effort in this direction. Meanwhile, to evaluate China’s efforts in terms of manned and unmanned submarines only according to warfare could be a dangerous approach, as all silo-based understanding. It could indeed neglect diplomatic impacts and  influence’s impacts, consequences in terms of resources security and, ironically, capability to develop next generation  of weapon systems, if necessary components are seabed resources dependent.

Signals and Sources

Scientists find materials in S.China Sea needed in military, aerospace equipment – Global Times

The month-long deep-sea exploration of the South China Sea ended Wednesday with the discovery of polymetallic nodules and ancient hydrotherm which will help in exploiting metal resources and will provide the materials needed to manufacture military and aerospace equipment, observers said.

Chinese researchers to live-stream in S.China Sea – Global Times

About 22 Chinese scientists began one month of live-streaming deep-sea exploration of the South China Sea on Tuesday.

China’s submersibles complete first joint deep-sea research in South China Sea – Global Times

China’s two deep-sea submersibles have completed their first joint scientific research in the South China Sea, paving the way for future natural gas hydrate explorations in the region, an analyst said Wednesday.

China just extracted a new type of fossil fuel for the first time, and the effects could be devastating

Commercial development of the globe’s huge reserves of a frozen fossil fuel known as “combustible ice” has moved closer to reality after Japan and China successfully extracted the material from the seafloor off their coastlines. But experts said Friday that large-scale production remains many years away – and if not done properly could flood the atmosphere with climate-changing greenhouse gases.

China’s Unmanned Submersible Qianlong 3 to Conduct First Dive—Chinese Academy of Sciences

null

China Plans Base in South China Sea to Launch Deep-Diving Drones

Just after the likely next head of US Pacific Command told Congress China’s undersea warfare capability is one of the most pressing threats to the US, a new report says Beijing is establishing another base in the South China Sea for deploying manned and unmanned submersible vehicles.

Migrating RTAS Website to New Host

Dear Users,

Update 28 May 2018: The migration has taken place without any major problem. We are still in the process of testing all features, and optimising the website to deliver best user experience. Thank you for your understanding as we proceed.

We are in the process of migrating the Red (Team) Analysis Society website to a brand new more powerful machine and to a new host FastComet.

Although with the team at FastComet we are doing our utmost to make sure the migration is seamless for you, you may nonetheless experience downtimes or erratic behaviour of the website.

Until the migration is fully completed, it would be helpful if, you, as users could as much as possible not enter new data on the website. We shall do our best to retrieve them, but notably as the new internet address propagates, data may be lost.

At worst the overall process should be over within 24 hours.

How will you know the migration is completed? We shall post a notice on the website on the left hand side of each post, article and page. Meanwhile the website wide notice warning about the migration in process will have disappeared.

We initiated this migration to improve how we protect your data and make sure we comply with the new regulation imposed by the EU, the General Data Protection Regulation (GDPR), which comes into effect on 25 May 2018.

You can find out our new privacy policy here.

Our new server will be located in London in the UK and FastComet is GDPR compliant.

We hope that the new configuration will further improve your experience with our website. Continue reading “Migrating RTAS Website to New Host”

Militarizing Artificial Intelligence – China (2)

In this article, we shall focus on the strategic meaning of the rapid integration of artificial intelligence (AI) by the Chinese military, at the level of command and management of warfare operations.

In the first article of this series, we saw how the Chinese People’s Liberation Army (PLA) is working to integrate AI to numerous weapons systems thus developing its “AI (fire) power”. This process is part of the Chinese national effort to become the world leader in the AI field before 2030, through the civil military fusion process (Jean-Michel Valantin, “Militarizing Artificial Intelligence – China (1)“, The Red Team Analysis Society, April 23, 2018). The Government and the Central military Commission of the PLA see AI as a massive force, rapidity and precision enhancer and multiplier of its military apparatus (“Testimony before the U.S.-China Economic and Security Review Commission: Chinese Advances in Unmanned Systems and the Military Applications of Artificial Intelligence—the PLA’s Trajectory towards Unmanned, “Intelligentized” Warfare”, The Long Term Strategy Group, February 23, 2017.

https://youtu.be/EfOlgWA2BIQ

In this article, we shall focus on the “intelligentization” process carried out by the PLA, which aims also at reinforcing the cognitive and decision-making capabilities of the command levels through the extremely strong and rapid capability for information treatment of AI (Lt Col Ashutosh Verma, “How China is moving towards intelligentized warfare“, Geospatial World, April 26, 2018). These new capabilities could have massive consequences for the way the PLA conceives warfare operations, especially through the strategic use of AI in order to greatly reduce the uncertainty factor in warfare operation, and thus attain military dominance. As a matter of fact, this militarization of AI may lead to “AI military dominance”, that is to say the military component of what Hélène Lavoix qualifies as “AI power” (“When Artificial Intelligence will Power Geopolitics – Presenting AI” and in “Artificial Intelligence and Deep Learning – The New AI-World in the Making”, The Red (Team) Analysis Society, March 26, 2018).

From there it comes that the PLA is experimenting in the way AI could help command levels to lift what Clausewitz calls the “great uncertainty”, i.e. the difficulty to understand the immensely complex object that are warfare operations and thus to take the right decisions at the right moment (On War, Chapter 3, “The Genius For War).

First, we shall look at the way the militarization of AI leads from “AI (fire) power) to “AI command decision-making”. Then, we shall see how this AI military trend aims at reducing uncertainty in war. Then, we shall propose a possible outcome for this trend, i.e an “AI dominance” of the future in order to reach military dominance during ongoing warfare operations.

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Full article 1623 words – approx. 5 PAGES

 

Today, contemporary military operations led by great powers take also place in the cyberspace, and may develop at such speed that human operators must now rely on new capabilities to pierce the “clouds of uncertainty”. In this process, it appears that through the intelligentization process of the PLA, the militarization of AI is rapidly becoming of strategic importance in the 21st century, (Helene Lavoix, “Artificial Intelligence – Forces, Drivers and Stakes” The Red (Team) Analysis Society, 26 March 2018).

About the author: Jean-Michel Valantin (PhD Paris) leads the Environment and Geopolitics Department of The Red (Team) Analysis Society. He is specialised in strategic studies and defence sociology with a focus on environmental geostrategy.

Featured image: 2015 China WWII Parade (screenshot) – 3 September 2015 – From VOA – Public Domain.

Warning – Ebola Outbreak in the DRC Spreading – to Put under Watch

Risk level and Uncertainties

Risk level
very high at the national level (WHO assess.)
 high at the regional level (WHO assess.)
➀ weak at the global level (WHO assess.)

➚   Risk for actors without activities within the DRC – Put the risk under watch

Main concerned actors: travel and tourism, NGOs, Mining companies (notably Cobalt, Copper) – risk to evaluate according to specific location and activities.

Facts and analysis

WHO Figures – From 4 April through 17 May 2018:

  • 45 suspected, probable and confirmed (14) cases of Ebola reported
  • 25 deaths (+2 / 15 May)
  • 527 contacts have been identified and are being followed-up and monitored

A new outbreak of Ebola virus disease (EVD) is taking place in the Democratic Republic of Congo.

On 8 May 2018, the DRC notified the WHO “two confirmed cases of Ebola virus disease occurring in Bikoro health zone, Equateur province”. Since then, we have been following closely the evolution of the disease.

WHO Map – Disease outbreak news 17 May 2018

On 17 May 2018, the WHO raised the level of risk as a new “laboratory-confirmed case from the city of Mbandaka”, was “notified by the country’s Ministry of Health”. Mbandaka counts 1,2 million habitants. By 18 May 2018, 3 cases would thus be confirmed in Mbandaka. The city is a port that “lies on the eastern bank of the Congo River, Africa’s 2nd longest after the Nile. Tens of millions of people live along the river, and the capitals of Congo, the Central African Republic and Congo Republic lie along it and its tributaries. This creates a much more precarious situation for spread of EV than Bikoro, the epicenter of the outbreak (ProMed, 17 April)”.

As a result, on 18 May 2018, the WHO convened  an emergency committee to assess the latest Ebola outbreak. It decided that to this date, this outbreak should not be considered a public health emergency of international concern — a PHEIC. The committee will reconvene if the outbreak spreads and reassess the situation then. Besides measures of “vigorous response”, and of strengthening preparedness and surveillance for neighbouring countries, the main advice is as follows:

“Exit screening, including at airports and ports on the Congo river, is considered to be of great importance; however entry screening, particularly in distant airports, is not considered to be of any public health or cost-benefit value”.

According to the WHO situation report of 17 May 2018, The level of public health risk assessed by the WHO has been changed to

  • very high at the national level
  • high at the regional level.
  • weak at the global level

Considering the three main drivers identified during the West African Ebola outbreak  (2014-2015), the existence of available Ebola vaccine rVSVDG-ZEBOV-GP which have been shown as highly effective, and are already being sent to the DRC is a favourable factor to see the outbreak controlled. “WHO is sending 7540 doses of the rVSV-ZEBOV Ebola vaccine, which is enough for 50 rings of 150 people. 4300 doses of vaccine have already arrived in Kinshasa. Logistics and vaccination teams are being put in place to start vaccination as soon as possible”(WHO).

The difficulty to store and then move the vaccine to the affected areas is however a concern, as the state of health care in the region. Médecins Sans Frontières (MSF) is already taking measures to “step up its response in the affected area”.

For worldwide actors without any direct activity in the DRC, the issue is thus to put under watch but still of relatively low concern.

Signals and Sources

Ebola: two more cases confirmed in Mbandaka in DRC – The Guardian

Two more cases of Ebola have been confirmed in the north-western city of Mbandaka in the Democratic Republic of the Congo, health officials have said. The report brings to three the number of confirmed cases in the city of 1 million people, raising the prospect of a wider outbreak than feared.

Statement on the 1st meeting of the IHR Emergency Committee regarding the Ebola outbreak in 2018  – WHO

The 1st meeting of the Emergency Committee convened by the WHO Director-General under the International Health Regulations (IHR) (2005) regarding the Ebola Virus Disease (EVD) outbreak in the Democratic Republic of the Congo took place on Friday 18 May 2018, from 11:00 to 14:00 Geneva time (CET).

Ebola virus disease – Democratic Republic of the Congo – Disease outbreak news – WHO  -17 May 2018

Ebola virus disease – Democratic Republic of the Congo

Disease outbreak news for Ebola in DRC.

DRC: Ninth Ebola outbreak in 40 years hits urban area – MSF –  17 May 2018

DRC: Ninth Ebola outbreak in 40 years hits urban area

An outbreak of Ebola has been declared in Equateur province, Democratic Republic of Congo (DRC). The outbreak, in the northeast of the country, has affected 44 people who have presented symptoms of haemorrhagic fever in the region; 3 confirmed as Ebola, and 23 deaths have been notified by the national health authorities.

The Future of Iran’s Regional Role – A Historical Backgrounder

During the second decade of the 21st century, the Middle East has been characterised by multiple, interconnected crises. The seemingly endless wars in Syria and Yemen, the never-ending Israeli-Palestinian question, the rift between Qatar and the other Gulf countries (chiefly Saudi Arabia and the United Arab Emirates), political uncertainty in Lebanon and socio-political tensions continuously threatening to tear Iraq apart appear to also have a common denominator: Iran’s role in local politics and regional geopolitics.

Over the last years, Teheran has strengthened its role in the region giving crucial support to President Bashar al-Assad’s war efforts, helping the Houthis in Yemen and providing support to Hezbollah in Lebanon and Hamas in the Gaza Strip (Anna Edgerton, Iran Sanctions Over Support for Hezbollah Pass U.S. House, Bloomberg, 25 October 2017; Kay Armin Serjoie, One Result of the Gaza Conflict: Iran and Hamas Are Back Together, Time, 19 August 2014). The objective of establishing a “Shia crescent” stretching from Central Asia to the Mediterranean Sea is at hand (Carlo Muñoz, Iran nears completion of “Shiite Crescent” across Middle East; land bridge to pose U.S. challenges, The Washington Times, 5 December 2017).

These developments cause great concern in Riyadh, Tel Aviv and Washington and are one of the reasons why U.S. President Donald Trump pulled out of the Joint Comprehensive Plan of Action (better known as the Iran Nuclear Deal) signed by the Obama administration with the UK, France, Germany, Russia, China and Iran itself in order to make sure that Iran will not develop nuclear weapons in exchange for sanctions relief (Joint Comprehensive Plan of Action, U.S. Department of State; Roula Khalaf, Benjamin Netanyahu is bending Donald Trump’s ear on Iran, The Financial Times, 2 May 2018). However, it is probable that Trump’s decision will not prevent Teheran to gain leverage in Lebanon and Iraq where elections have been held on May 6 and May 12 respectively, although partial results in Iraq as counted on 14 May, with the surprise rise of nationalist cleric Moqtada al-Sadr, probably at odds with both Iran and U.S., could lead to a more complex situation (David Gardner, Trump and Netanyahu miss the real threats posed by Iran, Financial Times, 1 May 2018; Jane Arraf, “Ahead Of Iraq’s Elections, Muqtada Al-Sadr Reinvents Himself — Again“, 3 April 2018, NPR Parallels; Ahmed Aboulenein, “Firebrand cleric Sadr on course to win Iraq election”, 13 May 2018, Reuters).

The geopolitical tensions between Iran on the one hand and Israel (D. Wainer, D. Abu-Nasr, H. Meyer, Israel Sees Iran War Looming as Mideast Tinderbox Awaits a Spark, Bloomberg, 3 May 2018), Saudi Arabia and Middle-Eastern allies and the United States on the other, together with the economic challenges that the Islamic Republic has to face, lead us to wonder about the regional role that Teheran will have in the medium-term future (i. e. 3 to 5 years). Answering this question is pivotal if we want to have an idea about the future of such an important region as the Middle East. For this strategic foresight and warning series focused on the future of Iran, notably as a regional player, we shall start analysing Iran’s history and political institutions and then we shall investigate Iran’s relations with leading regional and global powers.

With this first article, we shall therefore start exploring Iran’s history until the Islamic Revolution (1979). In the next article, we shall analyse the last forty years of Iran’s history together with the political institutions ruling the country. Our aim is to single out crucial historical elements that still inform today’s and tomorrow’s dynamics

Home of Empires, Islamisation and Awareness of Greatness

“Iran has a longer history than most countries” (Axworthy 2008). Indeed, Iran, or Persia, as the polity was called abroad up until the 20th century, has been home to great civilizations and empires.

The Persian Empire, established by Cyrus the Great in the 6th century BC, stretched at its largest from India to the Mediterranean (R. Schmitt, Achaemenid Dynasty, Encyclopaedia Iranica). Later, the Parthians (whose Empire is considered as the heir of the Persians’ one) effectively blocked the eastward expansion of the Roman Empire, while the Sasanian Empire dominated Central Asia and the Middle East for 400 years, right before the Arab Conquest in 651 AD (A. Shapur Shahbazi, Sasanian Dynasty, Encyclopædia Iranica).

Sassanian Empire 621 A.D by By Keeby101 [GFDL (http://www.gnu.org/copyleft/fdl.html) or CC BY-SA 3.0 (https://creativecommons.org/licenses/by-sa/3.0)], via Wikimedia Commons

This was a turning point in Iran’s history. The Persians/Iranians eventually managed to maintain their language and culture but their traditional religious credo, Zoroastrianism, was supplanted by Islam (History of Iran: Islamic Conquest; Iran Chamber Society). The consequences of this development are obviously felt to this very day as Iran is nowadays an Islamic Republic.

After centuries of instability, the rise of the Safavid dynasty in the 15th century recreated a unified Iranian state (Shaabazi in V. S. Curtis and S. Stewart 2005: 108). These rulers effectively made Iran a Shia country (Foltz 2015: 74-76).

From the mid-18th century onwards, after the fall of the Safavids, Iran had to deal with Ottoman, Russian and European meddling in its internal affairs (id.: 80-95). We shall come back to these in the next articles, when we shall deal with Iran’s relations with Turkey, Russia and the Western world

The Pahlavis, the rise of the oil issue and of the importance of being – or not – perceived as subservient to foreigners

 

In 1925, after the fall of the Qajar dynasty, Iran’s constituent assembly gave power to Reza Pahlavi who became Shah, a title inherited from the Persian Empire tradition and signifying “king of kings” (Oktor Skaervø 2016: 149). The new ruler’s aim was to restore Iran’s past grandeur. Indeed, he wanted “to make the country strong, to develop it so that it could be truly independent, to modernise it so that it could deal with the great powers on an equal basis, to have a strong army to resist foreign interventions and to impose order internally so that, as in other modern countries, the state enjoyed sole control” (Axworthy 2008). To achieve these aims, he followed the example of Atatürk (Foltz 2015: 97), who succeeded in modernising and secularising post-Ottoman Turkey. Reza Shah effectively engaged in widespread state-building, involving the creation of extensive military and bureaucratic apparatuses (Abrahamian 2008: 65-71). Transport infrastructure was also greatly improved (Axworthy 2008).

Military commanders of the Iranian armed forces, government officials and their wives commemorating the abolition of the veil. (1936) – Public Domain

Reza Shah however did not fully succeed in freeing Iran from foreign influence. Oil, what would become the world’s most needed commodity, was now at the heart of the matter. Reza Shah, in fact, “had to accept the continuation of British exploitation of oil in the south, on a basis that, despite yielding significant revenue to the Iranian government, in reality gave only a poor return in proportion to the real value of such an important national resource” (ibid.). In 1928 the Iranian government notified the Anglo-Persian Oil Company (now BP) that the oil concession had to be renegotiated as Iran was only getting 16 per cent of the profits (ibid.). The negotiations were painfully slow. As a consequence, the Shah, annoyed, unilaterally cancelled the concession in 1932. The British reacted by sending additional ships to the Persian Gulf and brought the case to the International Court of Justice in the Hague. Eventually, a deal was reached, granting Iran only a modest increase as Teheran’s share became 20 per cent of the profits (Ansar 2003: 56-9 in Axworthy 2008). As far as the opposition – composed of “the new intelligentsia — especially from young professionals who had been influenced by the left while studying in France and Germany during the turbulent early 1930s” – was concerned, this humble result, and the fact that the concession was extended up until 1993 “confirmed the suspicion that the shah, despite all his patriotic talk, was in fact beholden to London” (Abrahamian 2008: 96).

Tensions between Iran and the Western powers interested in its oil resources, as well as perceptions of these tensions by various domestic actors, remain at the roots of Iran’s present foreign policy, including considering possible impacts on domestic politics (Ishaan Tharoor, The key moments in the long history of U.S.-Iran tensions, The Washington Post, 2 April 2015).

17 September 1941, Mohammad Reza Pahlavi is inaugurated as Shah of Iran – Catherine Legrand, Jacques Legrand: Shah-i Iran. Creative Publishing International (farsi edition), Minnetonka, MN 1999, S. 41. IR/RR – Public Domain

Nevertheless, it was Britain that, together with the Soviet Union, forced the Shah to abdicate in 1941. He was to be replaced by his son, Mohammed Reza Pahlavi, who declared he would rule as a constitutional monarch (Axworthy 2008). Two factors are usually given to explain the British and Soviet action: Foltz (2015: 98) suggests that the two foreign powers were concerned by the Shah’s pro-German attitudes, while Axworthy (ibid.) thinks that the British and Soviet action was mainly driven by geostrategic considerations regarding oil routes.

The 1953 coup and the bases for the Islamic Revolution.

In the 1940s, economic hardships and the presence of the Allies in the country further fuelled nationalistic sentiments. The oil concessions conundrum emerged again (ibid.). Indeed, between 1932 and 1950, the British government’s revenues from the Iranian oil industry were nearly twice larger than those collected by Teheran (Ansari 2003: 110 in Axworthy 2008). In the meanwhile, the communist Tudeh party grew in popularity, particularly among the underclasses which was becoming more politicized (Foltz 2015: 100). This political environment paved the way for escalation.

“In March 1951, after failing to reach an agreement with the Anglo-Iranian Oil Company (AIOC), the Iranian parliament voted to nationalize the oil industry” (ibid.). The newly appointed Prime Minister Mohammed Mossadeq created the National Iranian Oil Company (NIOC) and ordered it to take control of the AIOC’’s assets. Afterwards, as London “blocked the export of oil from Iran, and lodged a complaint with the United Nations”, Mossadeq appeared before the National Security Council, and, accusing Britain of subversion, broke diplomatic relations and closed down the latter’s consulates as well as embassy” (Abrahamian id.: 117). The British government froze Iran’s assets and dispatched military vessels to the Gulf. Tensions were also exacerbated by the widening rift between the prime minister and the Shah over the electoral system and the control of the army (Abrahamian id.: 117-118).

Mossadeq was eventually removed from power in 1953, after a coup orchestrated by the British SIS and the CIA (Axworthy 2008). It was “a joint British–American venture to preserve the international oil cartel” (Abrahamian id.: 118). Indeed, from a British point of view, the interests the AIOC had in Iran were too important: in Abadan the AIOC had the world’s largest refinery; the AIOC was the second largest exporter of crude petroleum and was attributed the third largest oil reserves (ibid.). The concessions over Iran’s oil reserves “provided the British Treasury with £24 million in taxes and £92 million in foreign exchange; supplied the British navy with 85 percent of its need in fuel and the AIOC with 75 percent of its annual profits” (ibid.). In Washington, the most pressing concern was that Teheran could become an example for other oil-producing countries such as Iraq, Venezuela and Indonesia, inspiring them in shifting the control over the oil business away from Western companies to national governments (Abrahamian id.:119).

After the coup against Mossadeq, the Shah’s regime became increasingly authoritarian, especially in comparison with the pledges the ruler had made at the moment of his ascension to the throne. The CIA helped in establishing a secret police force called the SAVAK (Foltz id.: 102), which also received support from the FBI and the Israeli Mossad and had the power to “censor the media, screen applicants for government jobs, even university appointments, and use all means available, including torture and summary executions, to deal with political dissidents” (Abrahamian id.: 126). In the 1970s, Amnesty International would describe the Shah as “one of the worst violators of human rights in the world” (Abrahamian id.: 157).

Meanwhile, the country was progressively “westernized”, as women, for example, were granted the right to vote in elections (Foltz id.: 102) . These developments, were not welcomed by many Iranians as these changes were representing “an unquestioning capitulation to Western superiority” (ibid.).

Cover book of The Regained Glory, a biography of Mohammad Reza Pahlavi – 1976 – Public Domain

In 1963, moreover, the Shah launched the so-called White Revolution, which mainly consisted in a land reform and in the promotion of industry (Abrahamian id.: 131-133). Yet, the land that many peasants received was not large enough to sustain them, while some agricultural workers did not receive any land at all and, therefore, “the net result was rural unemployment and an accelerating movement of people from the villages to the cities, especially Tehran, in search of jobs” (Axworthy 2008). These very people would be the “battering rams” of the Islamic Revolution (Abrahamian id.: 156).

During the 1960s and 1970s, the Shah “used state power and programs of modernization to attack the Shia clergy” (Skocpol 1982: 274). These developments and the modernization of the country prompted the reaction of the Ayatollah Khomeini, who began to preach against the Shah’s government because of “its corruption, its neglect of the poor, and its failure to uphold Iran’s sovereignty in its relationship with the US” (Axworthy 2008) and was consequently arrested. This sparked demonstrations that were crushed with violence, leaving hundreds of people dead (Foltz id.: 103). Khomeini was later sent into exile, which actually gave him the opportunity to speak freely against the Shah (Foltz id.: 102). Another move that caused outrage was “the Shah’s extension of diplomatic immunity to all Americans living in Iran”. Khomeini reacted saying that “If an Iranian runs over an American’s dog he will face prosecution . . . but if an American cook runs over the shah [himself], no one can do anything” (ibid.). The 1971 “astronomically expensive” celebrations for the 2500 years of the Iranian monarchy were also taken as a further sign of the Shah’s disregard for its own people by many Iranians (ibid.). These sentiments were exacerbated by the fact that by the 1970s, Iran had one of the world’s most unequal income distribution (International Labor Organization 1972: 6 in Abrahamian 141). The Shah’s centralization policies also upset the bazaar, which was “the center of urban life”, and began to play “an indispensable role in mobilizing and sustaining the core of popular resistance” (Skocpol 1982: 271-272).

In 1973, as a protest against Western support for Israel during  the Yom Kippur war, the OPEC declared an embargo on oil sales to the West and therefore the oil price increased dramatically (Foltz 105). As a result, a lot of money was pumped into the Iranian economy: “the economy was overheating, there was too much money chasing too few goods, there were bottlenecks and shortages, and inflation rose sharply—especially on items like housing rent and foodstuffs, and especially in Tehran” (Axworthy 2008). Ordinary consumers were “hit hard by unchecked inflation” and farmers “were devastated by cheap imports of food staples such as wheat” (Foltz id.: 106).

In 1977-78, oil revenues-driven inflation and the subsequent, disastrous deflationary measures that caused unemployment to increase led to numerous mass demonstrations (Axworthy 2008). An anti-Khomeini article published by a government-controlled newspaper contributed to make the situation worse (Abrahamian 158). The protests were repressed in blood, further exacerbating tensions and strengthening the resolution of the opposition to the Shah, who, eventually, was forced to flee the country on January 16, 1979 (Foltz  id.: 108-109) while Khomeini returned to Iran on 1 February. The Islamic Republic of Iran was ready to be born.

From this brief journey through Iran’s history until 1979 we can emphasize two main elements. The first concerns Iran’s long history and its legacy that fuels national pride and therefore Teheran’s foreign policy (Zia-Ebrahimi 2016). The second element that we have to keep in mind while analysing Iran’s foreign relations is a sense of grievance caused by foreign interferences that have characterized the country’s modern history. The conflicts with the Ottomans and the Russians will be analysed in greater detail in the next articles. Current relations with the West are shaped by the tensions caused by British-American attempts to control Iran’s oil reserves. The 1953 coup against Mossadeq “is remembered and referenced widely by Iranians, who point to it as a sign of the West’s meddling in Iranian affairs, motivated first and foremost by greed” (Tharoor ibid.). This sentiment has its paramount expression in “Occidentosis: a plague from the West” written by the intellectual Jala Al-I Ahmad published clandestinely in 1962. Finally we shall remember the tight connection between foreign policy and related perception of un-nationalism or subservience to foreign powers, opposition and capacity for political authorities to remain in power.

In the next article, we shall dig deeper into the post-1979 history, trying to highlight further elements that can help us in understanding the regional role that Teheran will play in the medium-term future.

About the author:  Leonardo Frisani (MA Paris) focuses currently on challenges to the US Dollar supremacy. Beyond that, his specialisation is in European and Russian history, and his main interests are in geopolitics, macroeconomics, climate change and international energy.

Featured Image: Persian Chess Game by Stux via Pixabay – Public Domain

References

Abrahamian, Ervand (2008) A History of Modern Iran, Cambridge: Cambridge University Press.

Armin Serjole, K., “One Result of the Gaza Conflict: Iran and Hamas Are Back Together”, Time, August 19, 2014.

Axworthy, Michael (2008) Iran: Empire of the Mind: a History from Zoroaster to the Present Day, London: Penguin Books.

Edgerton, A., “Iran Sanctions Over Support for Hezbollah Pass U.S. House”, Bloomberg, October 25, 2017.

Foltz, Richard (2015) Iran in World History, Oxford: Oxford University Press.

Gardner, D,, Trump and Netanyahu miss the real threats posed by Iran, Financial Times, May 1, 2018.

Khalaf, R., “Benjamin Netanyahu is bending Donald Trump’s ear on Iran”, Financial Times, May 2, 2018.

Muñoz, C., “Iran nears completion of “Shiite Crescent” across Middle East; land bridge to pose U.S. challenges”, The Washington Times, December 5, 2017.

Skocpol, T. “Rentier State and Shi’a Islam in the Iranian Revoution”, Theory and Society, Vol.11, No. 3 (May, 1982), 265-283.

Shahbazi, A. S. (2005), “The History of the Idea of Iran”, in V.S. Curtis and S. Stewart (eds), Birth of the Persian Empire, (London and New York, I.B. Tauris 2005)

Tharoor, I., “The key moments in the long history of U.S.-Iran tensions”, The Washington Post, April 2, 2015.

Wainer, D., Abu-Nasr, D.,  Meyer, H., Israel Sees Iran War Looming as Mideast Tinderbox Awaits a Spark, Bloomberg, 3 May 2018

Zia-Ebrahimi, R. (2016) The Emergence of Iranian Nationalism, Columbia University Press.

When AI Started Creating AI – Artificial Intelligence and Computing Power

2018 could be the year when the U.S. takes back the lead over China with the most powerful supercomputer in the world. It could be the year when the AI-power war over computing power started.

2017 is the year when Artificial Intelligence started creating Artificial Intelligence (AI). It is the year when China overtook the US in the total number of ranked supercomputers and in aggregate computing performance.

All these events are deeply shaping our future … and our present. They are recasting how wars will be and are already waged, while strategy and, indeed, the scope of national security, become considerably extended. They are intimately connected. Understanding why and how is crucial to foresee what is likely to happen and is already happening, and fathom how the emerging AI-world will look like.

This article and following, using concrete examples and cases, will explain how and why AI and computing power are related. They will thus focus on hardware and computing power as a driver, force and stake for AI’s development, in the Deep Learning (DL) AI-subfield. Previously, we identified computing power as one of the six drivers that not only act as forces behind the expansion of AI but also, as such, become stakes in the competition among actors in the race for AI-power (Helene Lavoix, “Artificial Intelligence – Forces, Drivers and Stakes” The Red Team Analysis Society, 26 March 2018).  We looked in detail at the first driver with “Big Data, Driver for Artificial Intelligence… but Not in the Future?” (Helene Lavoix, The Red Team Analysis Society, 16 April 2018)

Here we shall start with latest – and most striking – cases exemplifying the tight relationship that exists between hardware and its computing power and the current exponential development of AI, or more exactly the expansion of DL. Computing power and AI-DL are actually co-evolving. We present two cases of AI-DL creating Neural Nets architectures thus DL: Google’s AutoML project, as well as its impact for example in terms of computer vision applications, and U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL) MENNDL (Multinode Evolutionary Neural Networks for Deep Learning), and relate them to the computing power needed. We thus start identifying crucial elements of computing power needed for AI-DL, stress the potential for evolutionary algorithms, as well as point out that we may now be one step closer to an Artificial General Intelligence.

We shall dig deeper in this coevolution with the next articles, understanding better how and why DL and computing power/hardware are related. We shall look more in detail at the impact of this relationship and its coevolution in terms of hardware. We shall thus outline the quickly evolving state of play, and identify further areas that need to be monitored. Meanwhile, as much as possible, we shall explain the technical jargon from TFLOPS to CPU, NPU or TPU, which is not immediately understandable to non-AI and non-IT scientists and specialists, and, yet, which now needs to be understood by political and geopolitical analysts and concerned people. This deep-dive will allow us to understand better the corresponding dynamics emerging from the new AI-world that is being created.

Indeed, we shall explain how the American seven-year ban on Chinese telecommunication company ZTE and other related American actions must be understood as a strategic move in what is part of the AI-power race – i.e. the race for relative power status in the new international distribution of power in the making – and looks increasingly like the first battle of a war for AI-supremacy, as suggested by the U.S. tightening actions against Chinese Huawei (e.g. Li Tao, Celia Chen, Bien Perez, “ZTE may be too big to fail, as it remains the thin end of the wedge in China’s global tech ambition“, SCMP, 21 April 2018; Koh Gui Qing, “Exclusive – U.S. considers tightening grip on China ties to Corporate America“, Reuters, 27 April 2018).

As we foresaw, AI has already started redrawing geopolitics and the international world (see “Artificial Intelligence and Deep Learning – The New AI-World in the Making” and “When Artificial Intelligence will Power Geopolitics – Presenting AI”).

Starting to envision AI creating AIs

Google’s AutoML, the birth of NASNet and of AmoebaNets

Figure p.16 from Le et Zoph, NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING, arXiv:1611.01578v2 [cs.LG] 15 Feb 2017

In May 2017, Google Brain Team – one of Google’s research lab – announced it had launched “an approach” called AutoML which aimed at “exploring ways to automate the design of machine learning models”, using notably evolutionary algorithms and Reinforcement Learning (RL) algorithms, i.e. one aspect of DL and thus AI (Quoc Le & Barret Zoph, “Using Machine Learning to Explore Neural Network Architecture“, Google Research Blog, 17 May 2017). They first successfully applied the approach for image recognition and language modeling but with small datasets: “our approach can design models that achieve accuracies on par with state-of-art models designed by machine learning experts (including some on our own team!).” (Ibid.) Then, they tested AutoML for large datasets “such as ImageNet image classification and COCO object detection” (Barret Zoph, Vijay Vasudevan, Jonathon Shlens and Quoc Le, “AutoML for large scale image classification and object detection, Google Research Blog,  2 Nov 2017). As a result, NASNet was born, in various size, which, for image recognition achieved higher accuracy and lower computational costs than other architectures (see Google’s figure on the right hand side). For example, “The large NASNet achieves state-of-the-art accuracy while halving the computational cost of the best reported result on arxiv.org (i.e., SENet)”. [5] The results for object detection were also better than for other architectures (Ibid.).

Photo From Zoph et al., Learning Transferable…

As pointed out by Google’s scientists, NASNet may thus tremendously improve computer vision applications (Ibid.). Considering the importance of computer vision for robotics in general, for Lethal Autonomous Weapon System (LAWS) in particular, being able to use NASNet and NASNet types of architecture, and even more to create better programs may become crucial. Google “open-sourced NASNet for inference on image classification and for object detection” (Ibid.), which should limit – to a point considering the need to also use Google’s platform TensorFlow machine learning framework, as well as the starting war between the US and China over AI (forthcoming) – the possible use of NASNet by one actor and not another. This example, shows that being able to develop and run an “AI that creates AI”, which are better than human-designed AI architectures may prove crucial for the started AI-power race, including in terms of possible future warfare, as well as for AI-governance.

A GPU is a Graphics Processing Unit. It was launched as such by NVIDIA in 1999 and is considered as the crucial component that allowed for the take-off of DL.

A CPU is a Central Processing Unit. It was the norm notably before the advent of GPU and the expansion of DL-AI.

Both microprocessors are built with different architectures with different objectives and functions, e.g. Kevin Krewell, “What’s the Difference Between a CPU and a GPU?” NVIDIA blog, 2009.

If the resulting AI-architectures have “less computational cost” than human-designed ones, what is the computing power necessary for the creating AI? According to Google scientists, “the initial architecture search [utilised for AutoML] used 800 GPUs for 28 days resulting in 22,400 GPU-hours. The method in this paper [NASNet] uses 500 GPUs across 4 days resulting in 2,000 GPU-hours. The former effort used NVIDIA K40 GPUs, whereas the current efforts used faster NVIDIA P100s. Discounting the fact that we use faster hardware, we estimate that the current procedure is roughly about 7× more efficient (Barret Zoph, Vijay Vasudevan, Jonathon Shlens, Quoc V. Le, “Learning Transferable Architectures for Scalable Image Recognition“, Submitted on 21 Jul 2017 (v1), last revised 11 Apr 2018 (this version, v4), arXiv:1707.07012v4 [cs.CV] ).

Image extracted from figure 3, Real et al., Regularized Evolution…

Google Brain Team continues its AutoML efforts at finding thebest way(s) to develop AIs that create AI. Out of an experiment to compare the relative merits of using RL and evolution for architecture search to discover automatically image classifiers was born evolutionary algorithms AmoebaNets: “This is the first time evolutionary algorithms produce state-of-the- art image classifiers” (Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V Le, “Regularized Evolution for Image Classifier Architecture Search“, Submitted on 5 Feb 2018 (v1), last revised 1 Mar 2018 (this version, v3) arXiv:1802.01548v3 [cs.NE]).

A TPU is a Tensor Processing Unit, the Application Specific Integrated Circuit created by Google for AI purposes and launched in May 2016

However, as the scientists point out, “All these experiments took a lot of computation — we used hundreds of GPUs/TPUs for days” (Esteban Real, “Using Evolutionary AutoML to Discover Neural Network Architectures“, Google Research Blog, 15 March 2018)The dedicated evolution experiment “ran on 900 TPUv2 chips for 5 days and trained 27k models total”, while each large-scale experiment “ran on 450 GPUs for approximately 7 days” (Real et al, Ibid., pp 12 & 3).

Hence, computing power is crucial in this new search for DL systems creating other DL systems or AI systems creating AIs. If the result obtained can then reduce the computational cost, it is only because, initially, powerful hardware was available. Yet, however large Google’s computing power dedicated to AutoML, it is not – yet? – on a par with what may happen with supercomputers.

Fast AI-Creator … but only with a Supercomputer

MENNDL – Multinode Evolutionary Neural Networks for Deep Learning

Image from ORNL for MENNDL

On 28 November 2017, scientists at U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL), announced they had developed an evolutionary algorithm “capable of generating custom neural networks” – i.e. artificial intelligence (AI) systems in its Deep Learning guise – “that match or exceed the performance of handcrafted artificial intelligence systems” for application of AI to scientific problems (Jonathan Hines for ORNL, “Scaling Deep Learning for Science“, ORNL, 28 November 2017). These new AI systems are produced in a couple of hours and not in a matter of months as if human beings were making them (Ibid.), or days and weeks as what Google achieved.

FLOPS means Floating Point Operations Per Second.
It is a measure of computer performance.

A teraFLOPS (TFLOPS) represents  one million million (1012) floating-point operations per second.

A petaFLOPS (PFLOPS) represents 1000 teraFLOPS (TFLOPS).

However, this feat is only possible because MENNDL (Multinode Evolutionary Neural Networks for Deep Learning) – the evolutionary algorithm that “is designed to evaluate, evolve, and optimize neural networks for unique datasets” – is used on ORNL’s Titan computer, a Cray XK7 system. This supercomputer was the most powerful in the world in 2012 (Top500 list, November 2017). In November 2017 it ranked ‘only’ number five, but was still the largest computer in the U.S. (Ibid.): “Its 17.59 petaflops are mainly the result of its NVIDIA K20x GPU accelerators” (Ibid.)

Now, the ORNL should get a new supercomputer, which should be online in late 2018, Summit, a “200-petaflops IBM AC922 supercomputer”  (Katie Elyce Jones “Faces of Summit: Preparing to Launch”, ORNL, 1 May 2018). “Summit will deliver more than five times [five to ten times] the computational performance of Titan’s 18,688 nodes, using only approximately 4,600 nodes when it arrives in 2018.” (Summit and Summit FAQ).  Each Summit node consists notably “of two IBM Power9 CPUs, six NVIDIA V100 GPUs” (Summit FAQ). This means that we have here the computing power of  9200 IBM Power9 CPUs and 27600 NVIDIA V100 GPUs. For the sake of comparison, Titan has 299,008 CPU Opteron Cores and 18,688 K20X Keplers GPU, i.e. 16 CPU and 1 GPU per node (Titan, ORNL) .

By comparison, China – and the world – most powerful computer, “Sunway TaihuLight, a system developed by China’s National Research Center of Parallel Computer Engineering & Technology (NRCPC), and installed at the National Supercomputing Center in Wuxi” delivers a performance of 93.01 petaflops (Top500 list, November 2017). It uses 10,649,600 Shenwei-64 CPU Cores (Jack Dongarra, “Report on the Sunway TaihuLight System”, www.netlib.org, June 2016: 14).

In terms of energy, “Titan demonstrated a typical instantaneous consumption of just under 5 million watts (5 Mega Watts or 5MW), or an average of 3.6 million kilowatt-hours per month (3.6MkW/h/m)” (Jeff Gary, “Titan proves to be more energy-efficient than its predecessor“, ORNL, 20 August 2014). The expected energy Peak Power Consumption for Summit is 15MW. Sunway TaihuLight would consume in energy 15,37MW (Top500 list, Sunway TaihuLight). Titan power efficiency is  2, 143 GFlops/watts and ranks as such 105, while Sunwai TaihuLight’s power efficiency is 6,051 GFlops/watts and ranks 20 (The Green500, Nov 2017).

Titan’s computing approaches the exascale, or a million trillion calculations a second (Titan), while Summit should deliver “exascale-level performance for deep learning problems—the equivalent of a billion billion calculations per second”, far improving MENNDL capabilities, while new approaches to AI will become possible (Hines, Ibid.).

The need for and use of immense computing power related to the new successful quest for creating AIs with AI is even clearer when looking at the ORNL MENNDL. Meanwhile, the possibilities that computing power and creating AIs yield together are immense.

At this stage, we wonder how China notably, but also other countries having stated their intention to strongly promote AI in general, AI-governance in particular, such as the U.A.E. (see U.A.E. AI Strategy 2031 – video) are faring in terms of AIs able to create AIs. May smaller countries compete with the U.S. and China in terms of computing power? What does that mean for their AI strategy?

With these two cases, we have identified that we need to add another type of DL, evolutionary algorithms, to the two upon which we have focused so far, i.e. Supervised Learning and Reinforcement Learning. We have also started delineating fundamental computing power elements such as types of processing units, time, number of calculations per seconds, and energy consumption. We shall detail further our understanding of these in relation to AI next.

Finally, considering these new AI systems, we must point out that their very activity, i.e. creation, is one of the elements human beings fear about AI (see Presenting AI). Indeed, creative power is usually vested only in God(s) and in living beings. It may also be seen as a way for the AI to reproduce. This fear we identified was meant to be mainly related to Artificial General Intelligence (AGI) – a probably distant goal according to scientists – and not to Narrow AI, of which DL is part (Ibid.). Yet, considering the new creative power of DL that is being unleashed, we may now wonder if we are not one step closer to AGI. In turn, this would also mean that computing power (as well as, of course algorithms as the two coevolve) is not only a driver for DL and narrow AI but also for AGI.

Featured image: Graphic regarding Summit the new supercomputer of the Department of Energy’s (DOE) Oak Ridge National Laboratory. Image cropped and merged with another, From Oak Ridge National Laboratory FlickrAttribution 2.0 Generic (CC BY 2.0).

Militarizing Artificial Intelligence – China (1)

On 7 March 7 2017, Lieutenant General Liu Guozhi of the Science and Technology Commission of the Central Military Commission stated that “Artificial intelligence … will bring about fundamental changes, and even lead to a profound military revolution.” (Wang Liang et al., “NPC deputy Liu Guozhi: Artificial intelligence will accelerate the process of military transformation“, CNR Military, 7 March 2017). This statement foresaw China’s massive national effort to become the world leader in Artificial Intelligence (AI), launched in July 2017 with the “New Generation Artificial Intelligence Development Plan” (新一代人工智能发展规划) and its 150 billion dollars investment plan (Sarah Hsu, “China is investing heavily into Artificial intelligence, and could soon catch up with US”, Forbes, July 3, 2017). Meanwhile, always in 2017, the Chinese National Engineering Laboratory for Deep Learning Technology was officially established (Meng Jing, “China’s first ‘deep learning lab’ intensifies challenge to US in artificial intelligence race », South China Morning Post, 21 February 2017).

© Sputnik / Sergey Pivovarov – “Just in Time for Christmas: Three Chinese Battle Robots Unveiled in Beijing” – 08.12.2015 – Click to access article

In the meantime, Chinese companies also develop AI-powered robotics on an industrial scale. In other terms, China integrates the development of AI, and, in the same dynamic develops what Hélène Lavoix defines as its “AI-power” and its “AI-governance” (Hélène Lavoix “Artificial intelligence- forces, drivers and stakes” and “When Artificial Intelligence will Power Geopolitics – Presenting AI” and in “Artificial Intelligence and Deep Learning – The New AI-World in the Making”, The Red (Team) Analysis Society, March 26, 2018).

It is against that background that the Chinese militarization of AI takes place: the Chinese military develops rapidly the integration of AI to its air, maritime, land, cyber, and space force projection capabilities. This process is managed through a very close military-civil relationship established between the People’s Liberation Army (PLA) and civil research-development laboratories and industrial companies (Elsa B. Kania in “The PLA’s trajectory from informatized to “intelligentized” warfare”, The Bridge, June 8, 2017). This militarization of AI leads us to wonder about the consequences of this process, not only in operational terms, but also in terms of strategy and of grand strategy, i.e the level where political, economic and strategic interests intersect.

In the first article of this series, we are going to focus on the way the PLA works at integrating AI to weapons systems. Then, we shall see how this process is integrated into the civil development of AI and robotics through a process of “military-civil fusion”. Then we shall wonder about the strategic meaning of this AI development of the Chinese military.

AI and Chinese weapons systems

The Science and Technology Commission of the Chinese Central Military Commission is leading the research and development effort of the PLA in the unmanned systems field, and especially in “intelligent unmanned systems and systems of systems” (Aleksandra Urman, “Smart killer robots: China’s military future could rest on artificial intelligence”, The Defense post, January 2, 2018). As emphasized by Elsa B. Kania, the Chinese development of unmanned systems and artificial intelligence is closely linked to the civil research and developments and applications of AI (“Testimony before the U.S.-China Economic and Security Review Commission: Chinese Advances in Unmanned Systems and the Military Applications of Artificial Intelligence—the PLA’s Trajectory towards Unmanned, “Intelligentized” Warfare”, The Long Term Strategy Group, February 23, 2017).

For example, in 2016, the China Electronics Technology Group Corporation succeeded in operating a swarm of seventy small-unmanned aerial vehicles (UAVs). These UAVs were operated autonomously. In 2017, the same company claimed it had succeeded in launching an intelligent drone swarm, directed by autonomous ground control and ad hoc networks (however, the company didn’t release information about the date and place of this test, see Jon Walker, “Unmanned aerial vehicles (UAV’s) – Comparing the USA, Israel and China”, Techemergence, September 1, 2017).

China Announces Troop Cuts at WWII Parade (screenshot) 201591801334

The same dynamic applies to the research-development of “intelligentized missiles”. For example, the China Aerospace Science and Industry Corporation (CISCA) works on the development of future cruise missiles with a very high level of automation and AI integration (Zhao Lei, “Nation’s next generation of missiles to be highly flexible”, China Daily, 2016-08-19). Command and control could even be exercised in real-time while the tasks and targets of the missiles could be changed while flying. Wang Changqing, Director of the General Design Department of the Third Academy of CISCA emphasizes that

“Artificial intelligence could enable missiles to have advanced capabilities in sensing, decision-making, and execution of missions, including through gaining a degree of “cognition” and the ability to learn… Moreover, our future cruise missiles will have a very high level of artificial intelligence and automation”  (Zhao Lei, ibid).

The PLA is also developing and testing other kinds of unmanned vehicles for the army, and the navy, such as reconnaissance drones and unmanned submarine (Stephen Chen, “China’s plan to use artificial intelligence to boost the thinking skills of nuclear submarine commanders“, South China Morning Post, 04 February 2018).

Meanwhile, the militarization of AI is studied for its potential in cyberspace operations. This thinking is done by the Strategic Support Force, dedicated to electronic warfare, in order to use drones equipped with sensors to capture electronic signals and to support electronic warfare missions (William Carter, “Statement Before the House Armed Services Committee Subcommittee on Emerging Threats and Capabilities “Chinese Advances in Emerging Technologies and their Implications for U.S. National Security””, CSIS, January 9, 2018).

The emphasis on autonomy is a crucial issue for the development of military unmanned vehicles and weapon systems, because of the complexity and potential dangerousness of the environment where they may have to operate. It must be remembered that, by now, these missions would cover the areas of intelligence, surveillance and reconnaissance, data links, and sensors for data harvesting (Jean-Michel Valantin, “The Chinese Chinese-Russian robot and space cooperation (1)- China”, The Red (Team) Analysis Society, January 8, 2018).

The AI-robotics civil-military fusion

These developments are closely linked to the progress that are made in civil research, especially in the way AI-endowed robots can execute tasks of a growing complexity, (Jean-Michel Valantin, “The Chinese artificial intelligence revolution”, The Red (Team) Analysis Society, November 13, 2017). China, besides U.S. private companies, is at the forefront of the twin dynamics of robots and artificial intelligence development (Ma Si “Smartening the world with robots”, China Daily, 2017-09-25).

The mammoth progress made in the AI-robotics field is driving the Chinese “civil-military fusion”led by the PLA and by the  Chinese Government through the personal involvement of President Xi Jinping, which massively supports the integration of AI by the Chinese military (“China’s Xi calls for closer civil-military integration to boost army combativeness“, Xinhuanet, 2015-03-12). The “civil-military fusion” allows the Chinese military to benefit from the developments accompanying the dynamics allying robotics and AI (Lorand Laskai, “Civil-Military Fusion and the PLA’s Pursuit of Dominance in Emerging Technologies », The JamesTown Foundation, April 9, 2018).

This dynamics has been officially defined by the government in the “Made in China” report of 2015, which states the national political will to turn China into the international leader in, among others, electric/smart car, information technology, aerospace equipment, agriculture machinery, which are all related to AI and robotics, actually considered as a sub-field of AI (“Made in China 2025” Plan, The State Council of the People’s Republic of China, May 19, 2015 and Jean-Michel Valantin, “China: Towards the digital ecological revolution?”, The Red (Team) Analysis Society, October 22, 2017; Helene Lavoix, “When Artificial Intelligence will Power Geopolitics – Presenting AI“, The Red (Team) Analysis Society, 27 Nov 2017 ).

Xi Jinping March 2017

This policy supports giant partnerships as well as mergers and acquisitions between Chinese companies and leading foreign companies. For example, the mammoth Chinese robotics company Midea has now acquired the German giant of industrial robotics Kuka (Li Xuena, Wang Cixin, Zhang Boling, “China’s factories are building a robot nation”, ChinaFile, March 10, 2015). In other terms, by developing literally a robot workforce coordinated by multiple levels of AI, China installs itself at the vanguard of “intelligent” industrial productivity on a global scale (Jane Perlez, Paul Mozur, Jonathan Ansfield, “China’s technology could upset the global trade order”, The New York Times, Nov. 7, 2017). In 2017 only, China produced more than 120 000 robots (“China produces more than 100 000 industrial robots in first ten months”, Global Times, 2017/12/13). These developments are “channelled” in order to drive both the civil and military integration of AI and technology transfers from civil developments to the military (“Military-Civil Integration Development Committee Established”, Xinhua, January 23, 2017, http://news.xinhuanet.com/finance/2017-01/23/c_129458492.htm).

Clausewitz and the “intelligentization” of the People’s Liberation Army

The development of the links between AI and robots, among them drones, and weapons systems is not limited to the integration of these unmanned and “intelligent” systems in the arsenal of the PLA. The PLA thinks about the way the militarization of AI could lead to what Lieutenant General Liu Guozhi qualifies as “entering into the intelligentization era” for the PLA (Elsa B. Kania, Battlefield Singularity: Artificial Intelligence, Military Revolution, and China’s Future Military Power, Center for a New American Security, November 2017).

As a result, it is highly likely that the PLA studies closely the strategic potential that could emerge out of the integration of AI at all levels of the military, as well as to the conduct of war operations. In other terms, integrating AI could trigger a transformation of the PLA, from the current “informatized” warfare, based on the circulation of information throughout informatized networks, to “intelligentized” warfare operations. The latter would imply managing operations by AI-led air, ground and sea vehicles, by AI-led entire units, as well as by AI cyber warfare units (Kania, “The PLA’s trajectory from informatized to “intelligentized” warfare”, The Bridge, June 8, 2017).

However, these capabilities are specific to the tactical level. It is possible that the PLA is also thinking about the way AI could also be integrated into its Command and Control capabilities. This is signaled by some articles written by Chinese officers and researchers (Elsa B. Kania, Battlefield Singularity:
Artificial Intelligence, Military Revolution, and China’s Future Military Power, Center for a New American Security, November 2017). This integration of AI at this level of command could be a powerful support for joint coordination and decision-making process. The linkage between these different AI’s military levels could thus turn AI and AI-powered technology into a new way to manage the strategic level of operations management of an entire theatre of operations (Edward Luttwak, Strategy, the logic of war and Peace, 1987).

Building upon Hélène Lavoix’s idea of “AI-power”, this possible evolution of the Chinese military leads us to suggest that the PLA is currently developing its own “AI-firepower”. This new Chinese “AI-firepower” must be understood not only in military and tactical terms, but also in strategic terms. In this regard, Carl von Clausewitz defines the role of the military as a tool to wage war and establishes that “War … is an act of violence intended to compel our opponent to fulfill our will” Clausewitz (Carl von Clausewitz, On War, Book 1, chapter 1, 1 832, Penguin Classics, London, p.101). As such, war is a duel of wills through the exertion of coercion, that can be imposed under the numerous forms of the military capabilities.

Thus, from a Clausewitzian point of view, AI could dramatically increase the coercion capability of the application of the Chinese military and political will through the enhanced capacity of physical, electronic and information military violence that it could muster and project on its opponents. In other words, through the intelligentization of the Chinese military, Chinese “AI firepower”could become an “extension” and an enhancer of the Chinese political will, and thus fully participate in the novelty of PLANS Ningbo (DDG-139)“AI governance”, as defined by Hélène Lavoix, and of the Chinese geopolitical power (Hélène Lavoix, “When Artificial Intelligence will Power Geopolitics – Presenting AI” (open access), The Red (Team) Analysis Society, November 27, 2017).

If we use the Clausewitzian perspective, it appears that the way the PLA considers the integration of AI to its capabilities, and possibly to its operations, could turn AI into a force, rapidity and precision multiplier, which would thus be applied to what is today an enormous and growing military apparatus (Gavin Fernando, “China is ramping up its military spending to 224 billion per year”, News.com, March 6, 2018). This military evolution is taking place in the physical as well as in the cyber world.

With the next article, we shall look at the implications of this intelligentization process in terms of Chinese grand strategy and geopolitics, and what this means for the newly emerging AI-world (Hélène Lavoix, “When Artificial Intelligence will Power Geopolitics – Presenting AI”, The Red (Team) Analysis Society, November 27, 2017).

Featured image: General view of the pit n°1 in the museum of Xi’an, Terracotta Warriors, by StormyDog101, Public Domain, PixaBay

About the authorJean-Michel Valantin (PhD Paris) leads the Environment and Geopolitics Department of The Red (Team) Analysis Society. He is specialised in strategic studies and defence sociology with a focus on environmental geostrategy.

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