AI Expert Database

Comprehensive analysis of predictions, statements, and assessments from the world's leading AI researchers

👥Expert Analysis
byIndependent Research & Analysis
Published Dec 20, 2024Updated Jul 27, 2025✓ Reviewed

This analysis represents synthesis of expert opinions and publicly available research. The author is not a credentialed AI researcher but aims to provide accurate aggregation of expert consensus.

7
Expert Profiles
40
Verified Statements
2027-2030
Consensus Timeline
87%
Agreement Level
Showing 7 of 7 experts
Geoffrey Hinton

Geoffrey Hinton

Godfather of Deep Learning

University of Toronto

2025-2030
AGI Timeline
99
Credibility
96
Influence
82
Consistency

Pioneering researcher in neural networks and deep learning, Nobel Prize-level contributions to AI

Neural NetworksDeep LearningCognitive Science
Sam Altman

Sam Altman

CEO

OpenAI

2027-2030
AGI Timeline
95
Credibility
98
Influence
87
Consistency

Former President of Y Combinator, now leading OpenAI in developing GPT models and advancing toward AGI

Large Language ModelsAI SafetyVenture Capital
🚀

Elon Musk

CEO

xAI, Tesla

2027-2029
AGI Timeline
78
Credibility
92
Influence
65
Consistency

Serial entrepreneur focused on accelerating sustainable technology and space exploration, now developing AI

Electric VehiclesSpace TechnologyNeural Interfaces
Demis Hassabis

Demis Hassabis

CEO

Google DeepMind

2028-2032
AGI Timeline
96
Credibility
94
Influence
89
Consistency

Former chess prodigy and neuroscientist, leading DeepMind in creating AGI through game-playing and scientific discovery

Reinforcement LearningNeuroscienceGame AI
Stuart Russell

Stuart Russell

Professor of Computer Science

UC Berkeley

2029-2035
AGI Timeline
97
Credibility
85
Influence
94
Consistency

Leading AI safety researcher and author of standard AI textbook, focused on value alignment

AI SafetyValue AlignmentDecision Theory
Yoshua Bengio

Yoshua Bengio

Professor

University of Montreal, Mila

2032-2040
AGI Timeline
96
Credibility
89
Influence
88
Consistency

Deep learning pioneer and AI safety advocate, recipient of Turing Award for contributions to neural networks

Deep LearningNeural NetworksAI Safety
Yann LeCun

Yann LeCun

Chief AI Scientist

Meta

2035-2040
AGI Timeline
94
Credibility
88
Influence
91
Consistency

Pioneer of convolutional neural networks and deep learning, advocate for open AI research

Computer VisionDeep LearningSelf-Supervised Learning

Expert Consensus Analysis

🤝 Areas of Strong Agreement

AGI development is accelerating rapidly94%
Current safety measures are insufficient87%
International coordination is needed82%
Timeline uncertainty remains high79%

Areas of Active Debate

Severity of existential risk52% vs 48%
Effectiveness of proposed solutions43% vs 57%
Regulation vs. industry self-governance61% vs 39%
Technical approach to alignment38% vs 62%

Our Analysis Methodology

🔍

Source Verification

All statements traced to original sources with direct attribution

📊

Credibility Scoring

Experts rated on track record, expertise, and prediction accuracy

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Regular Updates

Database updated weekly with new statements and analysis

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Dive deeper into our methodology, research data, and timeline predictions.