Title: "Responsible AI"
Presenter: Prof. Ricardo Baeza-Yate
Abstract: In the first part, to set the stage, we cover irresponsible AI: (1) discrimination (e.g., facial recognition, justice); (2) pseudoscience (e.g., biometric based predictions); (3) limitations (e.g., human incompetence, minimal adversarial AI), (4) indiscriminate use of computing resources (e.g., large language models) and (5) the impact of generative AI (disinformation, mental health and copyright issues). These examples do have a personal bias but set the context for the second part where we address three challenges: (1) principles & governance, (2) regulation and (3) our cognitive biases. We finish discussing responsible AI initiatives and the near future.
When: Wednesday, September 24, 2025
Time: 4:00 p.m. to 5:00 p.m.
Meeting ID: 941 8447 7023; Passcode: 260961
Bio: Ricardo Baeza-Yates is a part-time WASP Professor at KTH Royal Institute of Technology in Stockholm, as well as part-time professor at the departments of Engineering of Universitat Pompeu Fabra in Barcelona and Computing Science of University of Chile in Santiago. Before, he was Director of Research at the Institute for Experiential AI of Northeastern University in its Silicon Valley campus (2021-25) and VP of Research at Yahoo Labs, based first in Barcelona, Spain, and later in Sunnyvale, California (2006-16). He is co-author of the best-seller Modern Information Retrieval textbook published by Addison-Wesley in 1999 and 2011 (2nd ed), that won the ASIST 2012 Book of the Year award. In 2009 he was named ACM Fellow and in 2011 IEEE Fellow. He has won national scientific awards in Chile (2024) and Spain (2018), among other accolades and distinctions. He obtained a Ph.D. in CS from the University of Waterloo, Canada, and his areas of expertise are responsible AI, web search and data mining plus data science and algorithms in general.
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