University of Cambridge
Leverhulme Centre for the Future of Intelligence (LCFI) / AI Safety Research
United Kingdom · PhD/Postdoc
The Leverhulme Centre for the Future of Intelligence at the University of Cambridge is the core academic center for AI safety research in Europe, focusing on the intersection of technical and philosophical approaches to AI safety. The center integrates expertise from computer science, philosophy, psychology, and other disciplines to study value learning in AI alignment, uncertainty modeling, and long-term safety issues.
学术历史
LCFI was established in 2016 with £10 million in funding from the Leverhulme Trust, making it the first large-scale AI safety and ethics research center in Europe. The center's founding responded to calls from scholars including Stuart Russell and Stephen Hawking regarding AI safety risks. Cambridge holds a unique position in AI safety: it combines the strong technical foundations of the Department of Computer Science (such as Zoubin Ghahramani's Bayesian ML research) with a deep philosophical tradition (such as Huw Price's philosophical analysis of existential risk). The center maintains close collaboration with Oxford's Future of Humanity Institute, jointly building the UK AI safety academic ecosystem.
当前状态
LCFI currently operates multiple research directions: technical approaches to AI safety (uncertainty modeling, value learning), the societal impacts of AI, and AI ethics and governance. The center offers a doctoral training program that accepts applications from the Department of Computer Science and the Faculty of Philosophy. It regularly organizes AI safety workshops and international conferences. Cambridge also participates in the Alan Turing Institute (the UK's national institute for AI) AI safety research network.
实验室 / 研究中心
Leverhulme Centre for the Future of Intelligence
访问页面 →关键人物
Zoubin Ghahramani
Professor
A leading authority in Bayesian machine learning, researching probabilistic models and uncertainty quantification, providing core technical foundations for uncertainty modeling in AI safety. Formerly Chief Scientist at Uber AI Labs.
Huw Price
Professor / Co-Director of the Center
Philosopher researching the philosophy of time and existential risk, and co-founder of LCFI. He advocates examining the long-term challenges of AI safety from a philosophical perspective and collaborates closely with Toby Ord of the Future of Humanity Institute.
José Hernández-Orallo
Research Fellow
Expert in AI evaluation and capability measurement, researching how to quantify the general capabilities and safety boundaries of AI systems, and contributing to the methodology of AI safety benchmarking.
标志性成果
- Established the first large-scale AI safety academic research center in Europe, promoting the systematic development of AI alignment research in Europe
- Uncertainty quantification methods in Bayesian deep learning, providing technical foundations for confidence assessment in safe AI systems
- AI capability evaluation methodology: general AI evaluation frameworks and safety benchmark design
- Philosophical foundations of AI safety: formal analysis of existential risk and long-term safety strategies
学术资源
证据
排名
QS World University Rankings #Top 5 globally in Computer Science (2024)
出处：QS World University Rankings →师资
6 位相关教师
知名：Zoubin Ghahramani、Huw Price、José Hernández-Orallo、Mateja Jamnik
研究产出
LCFI-affiliated researchers consistently publish AI safety and uncertainty quantification papers at venues including NeurIPS, ICML, and AISafety@ICML
就业去向
Graduates join institutions such as DeepMind, Anthropic, and the Alan Turing Institute, or take faculty positions at European universities
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