Beyond the Algorithm

Dr. Dr. Brigitte E.S. Jansen
Since 10/2025 14 episodes

The Algorithmic Construction of Futures

Prediction, Contingency, and Social Possibility (Part II)

2026-01-25 32 min

Description & Show Notes

 The future is not something algorithms predict—it's something they produce. In this concluding exploration of Elena Esposito's work, we examine how algorithmic prediction transforms the very nature of futurity, turning forecasts into self-fulfilling prophecies and creating new forms of social contingency. Drawing on her analysis of financial algorithms, recommendation systems, and predictive analytics, we discover that AI doesn't simply calculate what will happen; it opens and closes possibilities, shapes probabilities, constructs the space of what can happen. This has profound implications: if algorithms are architects of possibility, then they're not just observing social reality—they're building it. We explore how this transforms knowledge, memory, agency, and the fundamental openness of the future. As machine learning systems increasingly mediate our access to information, shape our decisions, and structure our social interactions, the question becomes: What kind of futures are algorithms creating? And crucially: Can we create algorithms that preserve human creativity, surprise, and genuine contingency? 

 
Beyond the Algorithm 
A series on cybernetics, systems theory, and the question of machine consciousness. Each episode takes one thinker seriously in their own terms, then tests those ideas against the systems being built today. Episodes stand on their own, but they were written in sequence, and the arc rewards listening in order. 
Created by Brigitte E. S. Jansen. Produced by the Gesellschaft für Arbeitsmethodik e.V., a non-profit association founded in 1954 and based in Baden-Baden, Germany. 
Narrated by a synthetic voice. In a series about machine minds, that is part of the argument rather than a production shortcut. 
All episodes and further reading: bta.global-future-association.com
 The association: gfaev.de 
Comments, corrections, and disagreements are welcome. 

 
Primary Texts by Elena Esposito: 
  • The Future of Futures: The Time of Money in Financing and Society (2011) - Core text on algorithmic prediction and temporal construction.
  • Artificial Communication: How Algorithms Produce Social Intelligence (2022) - Complete treatment of algorithms as social actors.
  • Die Fiktion der wahrscheinlichen Realität / The Fiction of Probable Reality (2007) - On mass media and reality construction (German).
  • "Social Forgetting: A Systems-Theory Approach" (2008) - On memory, forgetting, and digital permanence.
  • "Algorithmic Memory and the Right to Be Forgotten on the Web" (2017) - Legal and functional arguments for digital forgetting.
  • "Economic Circularities and Second-Order Observation" (2013) - On self-referential financial markets.
  • "Artificial Communication? The Production of Contingency by Algorithms" (2017) - On how algorithms generate possibilities.

Exercise
For one week, keep an "algorithmic diary." Note every time an algorithm makes a decision that affects you: recommendations, search results, navigation routes, content feeds, autocorrections. Ask: Did this expand my world or narrow it? Did it predict my preference or create it? Did it show me something unexpected or just more of the same? At week's end, reflect: Are you using algorithms, or are they using you? 

 More from the Gesellschaft für Arbeitsmethodik 
The association and its other programmes: gfaev.de 
Our other podcast series, all in German: 
GfA – Der Podcast · The same questions pursued in German, currently the series "Das Bewusstsein der Maschinen": gfa-ev.com 
GfA Kulturwelten · Art, music and cultural history, including a series on the history of Tango Argentino: kulturwelten.gfaev-online.com 
Gut zu Wissen: KI & SEO Insights · Artificial intelligence, search and structured data, for people who have to make it work in practice: gfaev.eu 
GfA History · Recorded lectures from the association: gfa-web.de 
If something here was wrong, or right in a way we did not expect, write to us. Corrections and objections find their way into later episodes. 


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