Who Pays When Ai Causes Harm
As a state criminal probe targets OpenAI and ever-more-capable models ship at speed, these books map the corporate incentives, alignment failures, and governance gaps that determine who bears the cost when AI systems do damage.
Optimized for books about Books explaining AI corporate responsibility, liability for AI harms, and what governance and regulation options exist.
If Anyone Builds It, Everyone DiesRafe Beckley, Eliezer YudkowskyA recent investigative account tying AI company behavior to societal harms and policy debates, directly relevant to...Shelf signal: AI & Machine Learning
SupremacyParmy OlsonA business-history of ChatGPT’s rise that helps readers understand how OpenAI’s choices produced fast deployment and...Shelf signal: AI & Machine Learning
Empire of AIKaren Hao, Penguin AudioA reporting-driven analysis of AI geopolitics and industry power that frames national-security and regulatory stakes.Shelf signal: AI & Machine Learning
The Alignment ProblemBrian ChristianTechnical and institutional history of AI failures and attempts to fix them, clarifying how systems produce harmful...Shelf signal: AI & Machine Learning
Human CompatibleStuart RussellAn expert roadmap for building AI systems aligned with human values, central to mitigation and governance discussion.Shelf signal: AI & Machine Learning
The Age of Surveillance CapitalismShoshana Zuboff, PublicAffairsA broad critique of surveillance-era corporate power that situates OpenAI’s commercial incentives within larger...Shelf signal: Privacy & Surveillance