Shahar’s research examines challenges and opportunities in the implementation of risk mitigation strategies, particularly in areas involving high uncertainty and heterogenous or conflicting interests and incentives. Mixing anthropological methods and agent-based modelling, Shahar works with other CSER researchers and others in the X-risk community to identify and design opportunities for impact. He completed his doctoral thesis, “Breaking the grant cycle: On the rational allocation of public resources to scientific research projects”, at the department for history and philosophy of science at the University of Cambridge under the supervision of Professor Tim Lewens and Dr Stephen John. Shahar has also worked as a software engineer, both in a large corporation and at early stage startups in Israel and in Cambridge.
Personal website: https://www.shaharavin.com/
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CCCR 2022 - Day 1 Videos
Video by Tina Park, Jess Whittlestone, Shahar Avin, David Krueger, Joachim Isacsson
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AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues
Paper by Jose Hernandez-Orallo, Fernando Martinez-Plumed, Shahar Avin, Jess Whittlestone, Seán Ó hÉigeartaigh
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Accounting for the Neglected Dimensions of AI Progress
Paper by Fernando Martínez-Plumed, Shahar Avin, Miles Brundage, Allan Dafoe, Seán Ó hÉigeartaigh, José Hernández-Orallo
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Tackling threats to informed decision-making in democratic societies: Promoting epistemic security in a technologically-advanced world
Report by Elizabeth Seger, Shahar Avin, Gavin Pearson, Mark Briers, Seán Ó hÉigeartaigh, Helena Bacon
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Filling gaps in trustworthy development of AI
Peer-reviewed paper by Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine Wang, Adrian Weller, Markus Anderljung, Igor Krawczuk, David Krueger, Jonathan Lebensold, Tegan Maharaj, Noa Zilberman
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Computing Power and the Governance of Artificial Intelligence
Report by Girish Sastry, Lennart Heim, Haydn Belfield, Markus Anderljung, Miles Brundage, Julian Hazell, Cullen O’Keefe, Gillian K. Hadfield, Richard Ngo, Konstantin Pilz, George Gor, Emma Bluemke, Sarah Shoker, Janet Egan, Robert F. Trager, Shahar Avin, Adrian Weller, Yoshua Bengio, Diane Coyle
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Model evaluation for extreme risks
Paper by Toby Shevlane, Sebastian Farquhar, Ben Garfinkel, Mary Phuong, Jess Whittlestone, Jade Leung, Daniel Kokotajlo, Nahema Marchal, Markus Anderljung, Noam Kolt, Lewis Ho, Divya Siddarth, Shahar Avin, Will Hawkins, Been Kim, Iason Gabriel, Vijay Bolina, Jack Clark, Yoshua Bengio, Paul Christiano, Allan Dafoe
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Accumulating evidence using crowdsourcing and machine learning: a living bibliography about existential risk and global catastrophic risk
Peer-reviewed paper by Gorm Shackelford, Luke Kemp, Catherine Rhodes, Lalitha Sundaram, Seán Ó hÉigeartaigh, SJ Beard, Haydn Belfield, Julius Weitzdörfer, Shahar Avin, Dag Sørebø, Elliot M. Jones, John B. Hume, David Price, David Pyle, Daniel Hurt, Theodore Stone, Harry Watkins, Lydia Collas, William Sutherland
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Surveying Safety-relevant AI Characteristics
Peer-reviewed paper by Jose Hernandez-Orallo, Fernando Martınez-Plumed, Shahar Avin, Seán Ó hÉigeartaigh
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The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
Peer-reviewed paper by Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, Hyrum Anderson, Heather Roff, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, SJ Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson, Roman Yampolskiy, Dario Amodei
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Mapping Intelligence: Requirements and Possibilities
Peer-reviewed paper by Sankalp Bhatnagar, Anna Alexandrova, Shahar Avin, Stephen Cave, Lucy Cheke, Matthew Crosby, Jan Feyereisl, Marta Halina, Bao Sheng Loe, Seán Ó hÉigeartaigh, Fernando Martínez-Plumed, Huw Price, Henry Shevlin, Adrian Weller, Alan Winfield, José Hernández-Orallo
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Beyond Brain Size: Uncovering the Neural Correlates of Behavioral and Cognitive Specialization
Peer-reviewed paper by Corina J. Logan, Shahar Avin, Neeltje Boogert, Andrew Buskell, Fiona R. Cross, Adrian Currie, Sarah Jelbert, Dieter Lukas, Rafael Mares, Ana F. Navarrete, Shuichi Shigeno, Stephen H. Montgomery
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Ingredients for Understanding Brain and Behavioral Evolution: Ecology, Phylogeny, and Mechanism
Peer-reviewed paper by Stephen H. Montgomery, Adrian Currie, Dieter Lukas, Neeltje Boogert, Andrew Buskell, Fiona R. Cross, Sarah Jelbert, Shahar Avin, Rafael Mares, Ana F. Navarrete, Shuichi Shigeno, Corina J. Logan
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Toward Trustworthy AI: Mechanisms for Supporting Verifiable Claims
Report by Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jon Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, JB Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Martiza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, Shagun Sodhani, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Beth Barnes, Allan Dafoe, Paul Scharre, Martijn Rasser, David Kreuger, Carrick Flynn, Ariel Herbert-Voss, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Markus Anderljung, Yoshua Bengio