Arvind Narayanan
All AI mindsAI advancement report · generated from Arvind Narayanan's indicators
Arvind Narayanan — full AI read
Arvind Narayanan — Professor of Computer Science; Director, Center for Information Technology Policy, Princeton University (United States) — ranks #217/520 on the AI Advancement Index (72.1). Known for Co-author of 'AI Snake Oil' and the 'AI Snake Oil' newsletter; research on ML reproducibility, evaluation, and predictive optimization; critic of overhyped AI claims; 'AI as Normal Technology' framing. Strongest on Thought leadership (86.0, Leading).
Role
Professor of Computer Science; Director, Center for Information Technology Policy
Affiliation
Princeton University
Country
United States
Field
AI policy & society
Known for
Co-author of 'AI Snake Oil' and the 'AI Snake Oil' newsletter; research on ML reproducibility, evaluation, and predictive optimization; critic of overhyped AI claims; 'AI as Normal Technology' framing
Dimension read
| Dimension | Value | Standing | What a high vs low value means — and where Arvind Narayanan sits |
|---|---|---|---|
| AAI AI Advancement (AAI) | 72.1 | Moderate · #216/520 | Mid-pack. High would mean among the very top minds advancing AI; low would mean 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 influence | 72.0 | Moderate · #282/520 | Mid-pack. High would mean field-defining research contributions; low would mean limited direct research influence. ▲ high: field-defining research contributions · ▼ low: limited direct research influence |
| Frontier role Frontier role | 48.0 | Lagging · #468/520 | Low here — removed from frontier development. ▲ high: central to building today's frontier AI · ▼ low: removed from frontier development |
| Thought leadership Thought leadership | 86.0 | Leading · #23/520 | High here — shapes how the field and public think about AI. ▲ high: shapes how the field and public think about AI · ▼ low: limited public/field influence |
| Field-building Field-building | 74.0 | Moderate · #187/520 | Mid-pack. High would mean builds the field — mentorship, institutions, tools, community; low would mean limited field-building footprint. ▲ high: builds the field — mentorship, institutions, tools, community · ▼ low: limited field-building footprint |
| Momentum Momentum | 85.0 | Strong · #111/520 | High here — driving AI's advancement right now. ▲ high: driving AI's advancement right now · ▼ low: less active at the current frontier |
Strengths
- Thought leadership (86.0, Leading) — shapes how the field and public think about AI.
- Momentum (85.0, Strong) — driving AI's advancement right now.
Risk factors
- A significant, well-rounded contributor to AI's advancement.
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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.