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Tegan Maharaj

All AI minds
AI advancement report · generated from Tegan Maharaj's indicators

Tegan Maharaj — full AI read

Tegan Maharaj — Assistant Professor, University of Toronto, University of Toronto (Canada) — ranks #466/520 on the AI Advancement Index (61.1). Known for Responsible and safe ML; multi-agent and ecological perspectives on AI risk; co-author on coordinated work on societal-scale risks and model evaluation.

Role
Assistant Professor, University of Toronto
Affiliation
University of Toronto
Country
Canada
Field
AI safety & alignment
Known for
Responsible and safe ML; multi-agent and ecological perspectives on AI risk; co-author on coordinated work on societal-scale risks and model evaluation

Dimension read

DimensionValueStandingWhat a high vs low value means — and where Tegan Maharaj sits
AAI AI Advancement (AAI)61.1Lagging · #466/520Low 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 influence60.0Developing · #423/520Low here — limited direct research influence.
▲ high: field-defining research contributions  ·  ▼ low: limited direct research influence
Frontier role Frontier role50.0Developing · #450/520Low here — removed from frontier development.
▲ high: central to building today's frontier AI  ·  ▼ low: removed from frontier development
Thought leadership Thought leadership66.0Moderate · #230/520Mid-pack. High would mean shapes how the field and public think about AI; low would mean limited public/field influence.
▲ high: shapes how the field and public think about AI  ·  ▼ low: limited public/field influence
Field-building Field-building66.0Moderate · #294/520Mid-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 Momentum66.0Developing · #440/520Low 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.