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.

How to Analyse Future Security Threats (4): Scenarios and War

This article focuses on scenarios for war. It explains first why scenarios need to be mutually exclusive. Then it provides logical templates for building scenarios dealing with war. Finally it offers an updated bibliography of scenarios for Syria over time. Towards an Operational Methodology to Analyse Future Security Threats and Political Risk (1) Methodology to …

Everstate’s characteristics

The initial variables chosen to start building our scenario are the five most important variables of our model, according to Eigenvector centrality, as explained in the article “Revisiting influence analysis”. We shall now choose values for each criterion. Consistency is then checked, but only for the variables that are linked. As we aim at finding …

Modeling for Dynamic Risks and Uncertainties (1) : Mapping Risk and Uncertainty

(This article is a fully updated version of the original article published in November 2011 under the title “Creating a Foresight and Warning Model: Mapping a Dynamic Network (I)”). Mapping risk and uncertainty is the second step of a proper process to correctly anticipate and manage risks and uncertainties.  This stage starts with building a model, which, once completed, will describe and explain the issue or question at hand, while allowing for anticipation or foresight. In other words, with the end of the first step, you have selected a risk, an uncertainty, or a series of risks and uncertainties, or an issue of concern, with its proper time frame and scope, for example, what are the risks and uncertainties to …

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Actors and Factors In Future Threats Analysis (3) – The Crisis in Ukraine

This article focuses on a third analytical challenge at the core of the foresight and warning process, the fact that actors and “factors”, or rather variables, are often mixed together. Using the example of the unfolding crisis in Ukraine, the first article of the series explained how to map a strategic foresight and warning question, notably how to move from factors to variables and the second underlined the importance to define and name the actors relevant to the question as objectively as possible and suggested ways to do it. The “black box” actor As we recall from the last post, during the first steps of a mapping for the future evolution of the crisis in Ukraine, both factors or rather variables and actors would have …

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Actors and Factors In Future Security Threats Analysis (1) – the Crisis in Ukraine

This series of articles deals with the core and basis of the foresight and warning analytical process, explaining it while stressing three most common challenges analysts and participants to workshops face: identifying factors correctly (this article); specifying actors objectively (2-); overcoming an inadequate mix of “actors and factors” (3-). Practical ways forward will be suggested. The example that will be used as case study throughout those three posts is the 2013-2014 crisis in Ukraine, with, as corresponding strategic foresight and warning (SF&W) question, “What are the possible futures for the Ukrainian crisis over the next two years?” Compared with our previous methodological series, these posts may seem to address more basic problems. However, as workshop after workshop, participants, be they …

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How to Analyze Future Security Threats (3): Scenarios as an Organic Living System

This article is the third of a series looking for a methodology that would fulfill the challenging criteria demanded by our time. We shall now focus on scenarios, which are a way to simulate how the actors we defined and described during the previous step interact, not only among themselves but also with their environment, up until the end of the chosen timeframe. Using the precedent post’s game of chess analogy, with scenarios we imagine the various ways the game may “end”. Towards an Operational Methodology to Analyse Future Security Threats and Political Risk (1)Methodology to Analyse Future Security Threats (2): a Game of ChessHow to Analyse Future Security Threats (3): Scenarios as an Organic Living SystemHow to Analyse Future Security Threats (4): Scenarios …

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Methodology to Analyze Future Security Threats (2): a Game of Chess

This article is the second of a series looking for a methodology that would fulfill the challenging criteria demanded by our time. Previously, we saw that a single “story” initially told at a general level, the political dynamics that are at the core of a polity, could be used to build the very specific model needed to answer a strategic foresight and warning (national security) question or a political risk interrogation. Very practically, how shall we do that? How are generic dynamics going to help us with our task? How can we proceed? This is what we shall see now. Related Towards an Operational Methodology to Analyze Future Security Threats and Political Risk (1) Methodology to Analyze Future Security Threats (2): a …

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Puzzle: Strange Parallels in Global Trends 2030

Global Trends 2030 compares our current transition period with 1815, 1919, 1945 and 1989. Yet we have not known recently any global systemic war. Thus why choose such a comparison? What could explain such a puzzling choice and what could we learn from it, for our understanding of the world and its potential future(s)?

Variables, Values and Consistency in Dynamic Networks

In this article we explain and discuss the methodological background that allows us to set the criteria for Everstate – or for any country or issue chosen – as exemplified in the post “Everstate’s characteristics.” Meanwhile, we also address the problem of consistency.

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