Adjacent AI Futures: governance, safety, and policy resources beyond Sam Altman and GPT-5

Summary

A curated set of non-Sam Altman/GPT-5–focused materials that deepen understanding of AI futures, governance, safety, and policy, encouraging exploration of adjacent ideas and broader systemic perspectives.

Recommended resources

1. 1.
   Book: Life 3.0: Being Human in the Age of Artificial Intelligence — by Max Tegmark — A broad, accessible survey of possible AI futures, useful as a springboard for thinking about safety, ethics, and societal impact without tying to current industry personalities.
2. 2.
   Book: Superintelligence: Paths, Dangers, Strategies — by Nick Bostrom — Foundational examination of AGI risk, incentives, and strategic considerations that complement practical deployment discussions with long-run safety questions.
3. 3.
   Book: Human Compatible: Artificial Intelligence and the Problem of Control — by Stuart J. Russell — Presents concrete approaches to aligning intelligent systems with human values and offers governance-oriented insights beyond engineering hype.
4. 4.
   Policy_report: 2024 AI Policy Forecast — by CSIS Wadhwani Center for AI and Advanced Technologies — A concise, policy-focused view of regulatory and governance questions shaping AI adoption across sectors and borders.
5. 5.
   Academic_paper: A five-layer framework for AI governance: integrating regulation, standards, and certification — by Avinash Agarwal and Manisha J. Nene — Connects high-level regulatory aims with concrete technical standards and certification, offering a practical blueprint for governance.