Jeff Clune Headshot

Jeff Clune

Faculty Member

Websites Google Scholar

Professor, Department of Computer Science, Faculty of Science, University of British Columbia

Canada CIFAR Artificial Intelligence Chair

Jeff Clune is a Professor of computer science at the University of British Columbia and Canada CIFAR AI Chair at the Vector Institute. Jeff focuses on deep learning, including deep reinforcement learning. His research also focuses on AI Safety, including regulatory recommendations and improving the interpretability of agents. Previously he was a research manager at OpenAI, a Senior Research Manager and founding member of Uber AI Labs (formed after Uber acquired a startup he helped lead), the Harris Associate Professor of Computer Science at the University of Wyoming, and a Research Scientist at Cornell University. He received degrees from Michigan State University (PhD, master’s) and the University of Michigan (bachelor’s). More on Jeff’s research can be found at JeffClune.com or on Twitter (@jeffclune).

Research Interests

  • Machine learning
  • Robotics
  • Open-endedness
  • Deep learning
  • Deep reinforcement learning
  • AI Safety & Existential Risk

Publications

Biological underpinnings for lifelong learning machines

Dhireesha Kudithipudi and Mario Aguilar-Simon and Jonathan Babb and Maxim Bazhenov and Douglas Blackiston and Josh Bongard and Andrew P Brna and Suraj Chakravarthi Raja and Nick Cheney and Jeff Clune and Anurag Daram and Stefano Fusi and Peter Helfer and Leslie Kay and Nicholas Ketz and Zsolt Kira and Soheil Kolouri and Jeffrey L Krichmar and Sam Kriegman and Michael Levin and Sandeep Madireddy and Santosh Manicka and Ali Marjaninejad and Bruce McNaughton and Risto Miikkulainen and Zaneta Navratilova and Tej Pandit and Alice Parker and Praveen K Pilly and Sebastian Risi and Terrence J Sejnowski and Andrea Soltoggio and Nicholas Soures and Andreas S Tolias and Darío Urbina-Meléndez and Francisco J Valero-Cuevas and Gido M van de Ven and Joshua T Vogelstein and Felix Wang and Ron Weiss and Angel Yanguas-Gil and Xinyun Zou and Hava Siegelmann

2022

Managing extreme AI risks amid rapid progress

Yoshua Bengio and Geoffrey Hinton and Andrew Yao and Dawn Song and Pieter Abbeel and Trevor Darrell and Yuval Noah Harari and Ya-Qin Zhang and Lan Xue and Shai Shalev-Shwartz and Gillian Hadfield and Jeff Clune and Tegan Maharaj and Frank Hutter and Atılım Gunes Baydin and Sheila McIlraith and Qiqi Gao and Ashwin Acharya and David Krueger and Anca Dragan and Philip Torr and Stuart Russell and Daniel Kahneman and Jan Brauner and Soren Mindermann

2024

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