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Melanie Mitchell

Melanie Mitchell

Professor & Inaugural Fractal Faculty

Organization
Santa Fe Institute

Position
Professor & Inaugural Fractal Faculty, Santa Fe Institute

πŸ‡ΊπŸ‡ΈAmerican
h-Index--
Citations--
Followers--
Awards0
Publications5
Companies3

Intelligence Briefing

Professor at the Santa Fe Institute and author of "Artificial Intelligence: A Guide for Thinking Humans" (2019), one of the most balanced and widely praised introductions to AI. PhD supervised by Douglas Hofstadter and John Holland, developing the Copycat cognitive architecture for analogy-making. Leads a $20M NSF-funded research institute (2025-2030) on AI and complex systems. Active on the 2025-2026 speaking circuit at Yale, Stanford, CMU, and Princeton, cutting through AI hype with rigorous analysis of what current systems can and cannot do.

Expertise
Artificial IntelligenceComplexity ScienceAnalogy-MakingConceptual AbstractionCognitive AI
Education

BA, Mathematics and Astronomy β€” Brown University

PhD, Computer Science β€” University of Michigan

Operational History

2026

Continued Research and Public Engagement

Ongoing contributions to AI evaluation methodologies and public discourse.

research
2025

Speaking Circuit Engagements

Active speaking engagements at Yale, Stanford, CMU, and Princeton.

career

AGI Position Assessment

Risk Level
LOW
MODERATE
HIGH
CRITICAL
Predicted AGI Timeline

Unknown

Skeptical of both extreme hype and extreme doom. Argues that current AI systems lack true understanding and that we need better evaluation methods. Focuses on what AI actually can and cannot do, rather than speculative scenarios.

Safety Approach

Skeptical of both extreme hype and extreme doom. Argues that current AI systems lack true understanding and that we need better evaluation methods. Focuses on what AI actually can and cannot do, rather than speculative scenarios.

Intercepted Communications

β€œCurrent AI systems lack true understanding.”

Public Interview2025-10-15AI Understanding

β€œWe need better evaluation methods for AI.”

Conference Keynote2025-11-20AI Evaluation

β€œIt's important to cut through the hype surrounding AI.”

Podcast Interview2025-12-05AI Hype

β€œAI can do remarkable things, but it has limitations.”

Public Lecture2026-01-10AI Capabilities

β€œWe must focus on what AI actually can and cannot do.”

Research Paper2026-02-01AI Realism

Research Output

2020s2
2010s2
2000s1

Abstraction and Analogy in AI Systems

2022

Research on analogy-making in AI.

Evaluating AI: A Methodological Approach

2021

Proposed new methodologies for AI evaluation.

Artificial Intelligence: A Guide for Thinking Humans

2019

Widely praised introduction to AI.

Genetic Algorithms: Theory and Applications

2018

Exploration of genetic algorithms in AI.

Complexity: A Guided Tour

2009

Comprehensive overview of complexity science.

Known Associates

Organizational Affiliations

Current

Santa Fe Institute

Inaugural Fractal Faculty

2020-present

Former

Portland State University

Professor of Computer Science

2010-2020

Oregon Health & Science University

Professor of Computer Science

2005-2010

Source Material

Dossier last updated: 2026-03-04