President of MIRI, who combines his industry experience and alignment research to advocate for global governance over AI development, emphasizing the irreversible nature of the alignment challenge.

Co-founder and CEO of OpenAI, representing the competitive dynamics driving AI development, which the authors view as a threat due to prioritization of rapid advancement over safety.

CEO of Google DeepMind, his AI breakthroughs, like AlphaGo and AlphaFold, are used to illustrate the potential for rapid and unexpected AI advancements.

A prominent deep learning pioneer whose public concerns about AI risk lend credibility to the book’s warnings about the dangers of uncontrolled AI scaling.

Chief AI Scientist at Meta, whose skepticism about AI existential risk provides a counterpoint, critiqued by the authors for lacking rigorous engineering support.

His historical role as an engineer with disastrous inventions is used as a cautionary tale to highlight potential long-term harms masked by short-term gains in technology.

Renowned for creating the first nuclear chain reaction, his work exemplifies the narrow margins of safety in engineering, paralleling the unforgiving nature of AI alignment challenges.

A Soviet naval officer whose restraint during the Cuban Missile Crisis symbolizes the necessary political coordination to prevent AI-induced catastrophe.

An academic philosopher whose assessment of global catastrophic risks supports the book’s call for immediate action to address AI existential threats.