Apr 5 2023
When: 5:00 PM - 6:30 PM
Where: Harman Academy
Event Type: Polymathic Pizza
RSVP Required
RSVP Code: PIZZA0405

Event Details

Memory is one of the most prominent features of human cognition and one that is becoming increasingly important for AI systems. AI has memory, but can AI imagine?   

Swabha Swayamdipta, Viterbi, CAIS

Kate Crawford, Annenberg 

Speaker Information

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Swabha Swayamdipta

Gabilan Assistant Professor and Assistant Professor of Computer Science

Swabha Swayamdipta will be joining USC as the Gabilan Assistant Professor and an Assistant Professor of CS in Fall 2022. She is currently a postdoc at the Allen Institute for AI, closely affiliated with the University of Washington, working with Yejin Choi. She received her PhD in 2019 from CMU, where she was advised by Noah A. Smith and Chris Dyer. Her work has received an Outstanding Paper Awards at NeurIPS 2021 and ICML 2022, and a Best Paper Honorable Mention at ACL 2020.

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Kate Crawford

Research Professor, Annenberg

Kate Crawford is a leading scholar of the social, political, and ecological implications of artificial intelligence. She is a Research Professor at USC Annenberg, a Senior Principal Researcher at MSR in New York, and the inaugural Abeona Visiting Chair for AI and Justice at the École Normale Supérieure. She leads the Knowing Machines Project, an international research collaboration about the epistemic foundations of machine learning. Over her twenty year career, Kate also produced groundbreaking creative collaborations and visual investigations. Her project Anatomy of an AI System with Vladan Joler won the Beazley Design of the Year Award, and is in the permanent collection of the Museum of Modern Art in New York and the V&A in London. Her collaboration with the artist Trevor Paglen, Excavating AI, won the Ayrton Prize from the British Society for the History of Science. Crawford's latest book, Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence was described as “a fascinating history of data” by the New Yorker, a “timely and urgent contribution” by Science, and was named one of the best books of the year by both The Financial Times and New Scientist. In June, Atlas of AI won the Best Information Science book award from the Association for Information Science and Technology.