Geoff Keeling

Papers

1

Total Citations

2,177

H-Index

1

About

Geoff Keeling is a philosopher and AI ethicist whose work sits at the intersection of artificial intelligence, ethics, and public policy. He is best known for his contributions to understanding the societal implications of large-scale AI systems, particularly through his landmark co-authorship of the widely cited report "On the Opportunities and Risks of Foundation Models" (2021), which has accumulated over 2,100 citations. This influential paper introduced the term "foundation models" to describe systems like BERT, DALL-E, and GPT-3, and critically examined their dual potential for transformative benefit and systemic harm. Keeling’s research focuses on the normative dimensions of AI, including fairness, accountability, transparency, and the governance of emerging technologies. His work has shaped ongoing debates about the risks of deploying powerful AI systems without adequate safeguards, and he has contributed to policy discussions on responsible AI development. With a background in philosophy and a commitment to interdisciplinary engagement, Keeling is a leading voice in ensuring that AI progress is guided by ethical reasoning and democratic values.

Research Focus

Key Achievements

1
H-Index
1
Papers
2,177
Total Citations
2,177
Avg Citations/Paper
🏆 Most Cited Paper
On the Opportunities and Risks of Foundation Models
2,177 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 98

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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