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AI safety needs social scientists

OpenAI: AI safety research is missing a critical piece. Social scientists.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

OpenAI argues that technical AI alignment work is incomplete without social science expertise on human psychology, bias, and value alignment—and is hiring social scientists to prove it.

The key facts

10 to know
  1. OpenAI publishing research paper on integrating social scientists into AI safety work

  2. Focus on human psychology, rationality, emotion, and bias as critical to alignment

  3. OpenAI committing to full-time social scientist hires

  4. Interdisciplinary collaboration between ML and social science researchers

  5. Published Feb 2019 — early signal on AI safety governance thinking

  6. OpenAI publishing research on integrating social science into AI safety

  7. Paper argues AI alignment algorithms must account for human psychology and biases

  8. OpenAI planning to hire social scientists full-time for this research

  9. Focus on human-AI value alignment as safety challenge

  10. Published February 2019 — foundational positioning on safety governance approach

Go to the source

OpenAI Blogopenai.com

Publisher excerpt: We’ve written a paper arguing that long-term AI safety research needs social scientists to ensure AI alignment algorithms succeed when actual humans are involved. Properly aligning advanced AI systems with human values requires resolving many uncertainties related to the psychology of human…
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