AI at War (3) – Hyperwar in the Middle east

(Image: UK MOD, OGL v1.0OGL v1.0, via Wikimedia Commons ) AI is everywhere in the current Middle East wars. In the Gaza war, triggered by the monstruous massacre inflicted by the Hamas militia on 7 October 2023, the Israel military is using machine learning in order to produce targets in Gaza ( “Octobre 7: How …

AI at War (2) – Preparing for the US-China War?

(Art direction and design: Jean-Dominique Lavoix-Carli) Darkening clouds (of drones) On 28 August 2023, on the Island of Guam, Kathleen Hicks, Deputy Secretary of Defense, gave a speech at a military and media crowd about the need for the U.S. to mass produce drones in order to outsize the Chinese People’s Liberation Army (Deputy Secretary …

AI at War (1) – Ukraine

(Art direction: Jean-Dominique Lavoix-Carli) Combat robots, AI targeted air strikes, new generation cyber and information warfare, AI generated deep-fakes, unmanned air and sea military vehicles, and smart artillery are being currently massively projected on the theatres of operations of Ukraine, Gaza and the Red Sea. As it happens, those new weapons systems are different iterations …

Challenge Your Beliefs with the AI Sphinx

Try Sphinx to challenge your beliefs, assumptions and hypotheses.
Sphinx is an AI assistant designed to challenge assumptions, reinforce arguments, and identify blind spots. It uses OpenAI’s GPT3.5 model and the Red Team Analysis Society’s methodology and knowledge base to provide a devil’s advocate perspective. In this article, we also explore the importance of challenging assumptions and showcase what Sphinx can achieve with the example of climate change.

Exploring cascading impacts with AI

Strategic foresight, early warning and risk management require evaluating possible impacts beyond direct effects. Explore cascading effects with Pithia’s AI-powered form. Discover what could be the cascading impacts of a very rapid adoption of generative AI across actors in the Western world… as identified by our AI.

Foreseeing the Future with ChatGPT?

Discover how AI, particularly GPT-like models, can help anticipate the future, and why it matters in the fields of geopolitics and security. In this series of articles, we explore how to ensure technology remains a tool to serve us rather than becoming a slave to it. The first article looks at what GPT models are, why they matter in terms of jobs and occupations, and tests ChatGPT on a specific foresight question.

Get Strategic Foresight and Warning Scenarios with GPT-based AI – Initiation

Discover how AI ChatGPT can help you with actionable strategic foresight and warning by generating possible scenarios for your future concerns. Specify your concern, actor, area, and timeframe to get a precise strategic foresight and warning question and receive sample scenarios. Upgrade your scenarios with AI assistants Kai and Calvin, or learn more with AI assistant Regina or training solutions. Start planning ahead and transforming your concerns into proactive anticipation and prevention.

China, Saudi Arabia and the Arab AI Rise

(Art direction: Jean-Dominique Lavoix-Carli) On 7 December 2022, China’s president Xi Jinping received a royal welcome at his arrival in Saudi Arabia for a three days state visit. State visits between China and Saudi Arabia heads of state have taken place since 2016. In 2022, President Xi received a royal and considerably warmer welcome than …

The Ultimate Key Technologies of the Future (3) – Extreme Environments

This third article is the last part of our “equation” to identify the key technologies of the future. We started, with the first article, in establishing that solely making laundry lists of new technologies was insufficient to identify the key technologies of the future. We needed more: a system explaining the logic behind the success …

The Key Technologies of the Future (2) – Evolution

In the first part of this series we found that solely making laundry lists of new technologies was insufficient to identify the key technologies of the future. Use of inadequate classifications made matters worse. We needed more: a system explaining the logic behind the success of technologies. Thus, we developed a schematic model depicting the …

EN