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Explore a mathematical framework for analyzing human survival scenarios in an AI-dominated future through this 27-minute conference talk that combines entropy theory, infinite game dynamics, and regulatory mechanisms to model survival probabilities. Discover how Monte Carlo simulations and dynamical feedback systems can reveal the critical role of ethical constraints and regulatory frameworks in preserving human agency. Learn about the intersection of game theory, information theory, and AI governance as the speaker demonstrates how mathematical modeling can provide insights into one of the most pressing questions of our technological age. Gain understanding of how entropy-based approaches can quantify the complex interactions between human decision-making and artificial intelligence systems, and examine how different regulatory scenarios impact long-term survival outcomes through computational analysis.
