Person

Nick Bostrom

Also known as Nick Bostrom (early work) · Nick Bostrom (partly)

Swedish philosopher and AI safety researcher who founded the Future of Humanity Institute and pioneered existential risk analysis as an academic field.

Nick Bostrom

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Nationality
Sweden
Life
1973 – present
Roles
  • philosopher
  • academic
  • author

Nick Bostrom is a Swedish philosopher best known for his work on existential risks, artificial intelligence, and the simulation hypothesis. He founded the Future of Humanity Institute (FHI) at the University of Oxford in 2005, which became a leading center for research on long-term existential risks and global catastrophic risks. His 2014 book *Superintelligence: Paths, Dangers, Strategies* is a foundational text in AI safety, arguing that advanced artificial intelligence poses unprecedented risks to humanity and outlining approaches to ensuring AI systems remain beneficial.

Bostrom's academic work spans philosophy of technology, ethics, and risk analysis. He has published extensively on topics including the simulation argument (the hypothesis that our reality may be a computer simulation), anthropic reasoning, and the importance of considering humanity's long-term future in policy and research priorities. His work has significantly influenced the emerging field of AI safety and has shaped how technologists, policymakers, and academics think about existential risks.

Beyond his research, Bostrom has been influential as a public intellectual, contributing to debates about AI governance, biosecurity, and the ethical implications of transformative technologies. His ideas have been widely discussed in academic circles, technology companies, and policy forums, making him a central figure in contemporary discussions about humanity's future.

Swedish philosopher educated at Stanford and the London School of Economics, Bostrom founded the Future of Humanity Institute at Oxford and became a leading voice on existential risks and AI safety. His 2014 book *Superintelligence* established him as a central figure in AI governance discourse, influencing both academic research and technology policy discussions globally.

Last updated 31 August 2026