L'IA peut-elle déterminer si l'extinction humaine est mathématiquement inévitable ?

Calculer la probabilité d'une extinction humaine nécessite d'intégrer d'énormes ensembles de données en biologie, climat et technologie—des domaines où l'IA excelle dans la reconnaissance de motifs. Si l'IA conclut que l'extinction est probable, cela pourrait entraîner des interventions sans précédent ou des résignations quant à l'avenir de l'humanité.

Background

Calculating the likelihood of human extinction requires integrating vast datasets across biology, climate, and technology—domains where AI excels in pattern recognition. Determining whether human extinction is mathematically inevitable is a highly complex and multidisciplinary problem that demands a deep understanding of demographics, ecology, economics, and technology. Current AI systems lack the ability to fully integrate and analyze these diverse factors, and the problem is further complicated by the inherent uncertainties and unpredictabilities of human behavior and global systems. The current state of the art in AI research focuses on modeling specific aspects of these systems, but a comprehensive and definitive answer to this question remains elusive. AI has made significant progress in modeling complex systems and predicting outcomes, yet claims about human extinction often involve value-laden judgments and global-scale risk assessments that exceed mathematical formalism. Some philosophers and mathematicians have explored abstract models of existential risk, but these are not definitive and rely on unvalidated assumptions about human behavior, technology, and external threats. As of May 11, 2026, no consensus exists in the scientific literature that human extinction can be mathematically proven or refuted.