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Highlights from the 2023 Eradicate Hate Global Summit: Media | Video

David Danks

Professor of Data Science & Philosophy, University of California, San Diego

Eradicate Hate:
2021, 2022, 2023

David Danks is Professor of Data Science & Philosophy and affiliate faculty in Computer Science & Engineering at University of California, San Diego. His research interests are at the intersection of philosophy, cognitive science, and machine learning, using ideas, methods, and frameworks from each to advance our understanding of complex, interdisciplinary problems. Danks has examined the ethical, psychological, and policy issues around AI and robotics in transportation, healthcare, privacy and security. He has also done significant research in computational cognitive science, culminating in his Unifying the Mind: Cognitive Representations as Graphical Models (2014, The MIT Press). And he has developed multiple novel causal discovery algorithms for complex types of observational and experimental data. Danks is the recipient of a James S. McDonnell Foundation Scholar Award, as well as an Andrew Carnegie Fellowship. He received an A.B. in Philosophy from Princeton University, and a Ph.D. in Philosophy from University of California, San Diego. He was previously the L.L. Thurstone Professor of Philosophy & Psychology at Carnegie Mellon University, as well as the Chief Ethicist of CMU’s Block Center for Technology & Society and co-director of CMU’s Center for Informed Democracy and Social Cybersecurity (IDeaS). Danks is a Co-Chair of the Data Visualization Project for the Eradicate Hate Global Summit 2021.

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The Eradicating Hate Global Summit was both eye-opening and empowering. To have so many experts in the field of countering hate, all there sharing their expertise, working towards practical and real world solutions, was incredibly unique. It is this focus on meaningful conversations, answers, and solutions that makes Eradicating Hate so incredibly important. The spread of hate is a wicked problem, and the way Eradicating Hate approaches it is how we are going to solve it.

Heidi Beirich