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Scott Emmons

All AI minds
AI advancement report · generated from Scott Emmons's indicators

Scott Emmons — full AI read

Scott Emmons — Research Scientist, Google DeepMind, Google DeepMind (United Kingdom) — ranks #444/520 on the AI Advancement Index (62.6). Known for Human-AI interaction safety; research on deceptive and partially-observed reward learning, and on the limits of human feedback for oversight.

Role
Research Scientist, Google DeepMind
Affiliation
Google DeepMind
Country
United Kingdom
Field
AI safety & alignment
Known for
Human-AI interaction safety; research on deceptive and partially-observed reward learning, and on the limits of human feedback for oversight

Dimension read

DimensionValueStandingWhat a high vs low value means — and where Scott Emmons sits
AAI AI Advancement (AAI)62.6Developing · #443/520Low here — lower relative influence within this elite set.
▲ high: among the very top minds advancing AI  ·  ▼ low: lower relative influence within this elite set
Research influence Research influence58.0Developing · #439/520Low here — limited direct research influence.
▲ high: field-defining research contributions  ·  ▼ low: limited direct research influence
Frontier role Frontier role70.0Moderate · #228/520Mid-pack. High would mean central to building today's frontier AI; low would mean removed from frontier development.
▲ high: central to building today's frontier AI  ·  ▼ low: removed from frontier development
Thought leadership Thought leadership58.0Developing · #382/520Low here — limited public/field influence.
▲ high: shapes how the field and public think about AI  ·  ▼ low: limited public/field influence
Field-building Field-building54.0Lagging · #462/520Low here — limited field-building footprint.
▲ high: builds the field — mentorship, institutions, tools, community  ·  ▼ low: limited field-building footprint
Momentum Momentum72.0Developing · #350/520Low here — less active at the current frontier.
▲ high: driving AI's advancement right now  ·  ▼ low: less active at the current frontier

Strengths

  • No standout dimension.

Risk factors

  • A significant, well-rounded contributor to AI's advancement.
These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure — not intelligence. No causality or certainty is claimed.