person
Dawn Song
UC Berkeley professor; AI security researcher
Leading researcher in ML security and privacy. Co-director of the Berkeley Center for Responsible Decentralized Intelligence; signed the Statement on AI Risk.
Profile
expertise
Deep technical
Sustained peer-reviewed contribution to ML, alignment, interpretability, or safety techniques. Could review a frontier paper.
UC Berkeley professor. Deep work on AI security, privacy-preserving ML, and verifiable AI. MacArthur Fellow 2010.
recognition
Field-leading
Widely known inside the AI and AI-safety community. Appears repeatedly in top venues, podcasts, or governance forums. Not a household name to outsiders.
Recognised in security/ML community. Less mainstream profile than ML-celebrity peers.
vintage
Deep-learning rise
Came up post-AlexNet. ImageNet, AlphaGo, transformer paper. DeepMind, Google Brain, FAIR establish the modern lab template.
Berkeley professor; AI security research deepens in the deep-learning era.
Hand-classified. See the board for the criteria and the full grid.
Strategy positions
Existential primacyendorses
Extinction/disempowerment risk overrides ordinary cost-benefitSignatory to the Statement on AI Risk.
“Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Dawn Song's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-24.