The Critical AI Seminar series will continue in 2024 and 2025 with another five lectures that critically address Artificial Intelligence (AI) from various perspectives – across different contexts of application and through different lenses of critique. With these lectures we hope to once again bringREAD MORE
May 15 from 4 to 5:30 PM (CEST): Invited talk by Nick Seaver (Tufts University) – Online Nick Seaver is an Assistant Professor in the department of Anthropology at Tufts University and the Director of the program Science, Technology and Society. Generally his work is centred on the question of howREAD MORE
March 20 from 4-5:30 PM CEST: Invited talk by Milagros Miceli (Weizenbaum-Institut) and Julian Posada (Yale University) – Online Milagros Miceli is a sociologist and computer scientist leading the Data, Algorithmic Systems, and Ethics research group at the Weizenbaum-Institut for the Networked Society in Berlin. Her research explores the production of ground-truth data for machine learning,READ MORE
January 24: Invited talk by Benjamin Jacobsen (Durham University) – Online Benjamin Jacobsen is a lecturer in Sociology at University of York. In addition, Benjamin is an editorial board member on the journal The Sociological Review and a Visiting Fellow in the Algorithmic Societies Project at DurhamREAD MORE
December 13 from 5-6:30 PM CEST: Invited talk by Mercedes Bunz (Kings College London) – Online Mercedes Bunz is a Professor of Digital Culture and Society and the Deputy Head of the Department of Digital Humanities at King’s College London. She is the co-founder of the CreativeREAD MORE
October 25 from 5-7 PM CEST: Invited talk by Lauren M. E. Goodlad (Rutgers University) and Rita Raley (University of California, Santa Barbara) – Online Lauren M. E. Goodlad is a distinguished Professor of English at Rutgers University. She is the chair of a new interdisciplinary initiativeREAD MORE
Critical AI studies is an interdisciplinary ‘field in formation’ (Raley and Rhee, 2023), which aims to better understand, critique and provide alternatives to the current regimes of Artificial Intelligence (AI) development and implementations – from dataset production to model development, evaluation and deployment as wellREAD MORE