07. June 2023, 17:00 until 18:30

Responsible AI – Public Lecture by Ricardo Baeza-Yates


Ricardo Baeza-Yates, renowned computer scientist and expert on implications of technology, talks about responsible AI.


To set the stage, the first part of this presentation will cover irresponsible AI: (1) discrimination (e.g., facial recognition, justice); (2) phrenology (e.g., biometric based predictions); (3) limitations (e.g., human incompetence, minimal adversarial AI) and (4) indiscriminate use of computing resources (e.g., large language models). These examples do have a personal bias, but they will set the context for the second part where three main challenges will be addressed: (1) principles & governance, (2) regulation and (3) our cognitive biases. At the end the talk will discuss responsible AI initiatives and give an outlook to the near future.


Ricardo Baeza-Yates is a professor at the Institute for Experiential Artificial Intelligence at Northeastern University, Boston. He was chief technology officer of NTENT, VP of Research at Yahoo Labs and founded and led the Yahoo Labs in Barcelona and Santiago de Chile from 2006 to 2015. Between 2008 and 2012, he oversaw Yahoo Labs in Haifa, Israel, and started the London lab in 2012. Baeza-Yates is a part-time professor at the Department of Information and Communication Technologies of the Universitat Pompeu Fabra in Barcelona, Spain, as well as at the Department of Computing Science of Universidad de Chile in Santiago. During 2005, he was an ICREA research professor at Universitat Pompeu Fabra. Until 2004, he was a professor and founding director of the Center for Web Research at Universidad de Chile.

Additionally, Baeza-Yates is a co-author of the best-seller Modern Information Retrieval textbook, published in 1999 by Addison-Wesley, with a second enlarged edition in 2011, which won the ASIST 2012 Book of the Year award. He is also a co-author of the second edition of the Handbook of Algorithms and Data Structures, Addison-Wesley, 1991, and co-editor of Information Retrieval: Algorithms and Data Structures, Prentice-Hall, 1992, among more than 600 other publications.

From 2002 to 2004 he was elected to the board of governors of the IEEE Computer Society, as well as to the ACM Council from 2012 to 2016. He has received the Organization of American States award for young researchers in exact sciences, the Graham Medal for innovation in computing given by the University of Waterloo to distinguished alumni, the CLEI Latin American distinction for contributions to CS in the region and the National Award of the Chilean Association of Engineers, among other distinctions. In 2003, he was the first computer scientist to be elected to the Chilean Academy of Sciences and, since 2010, is a founding member of the Chilean Academy of Engineering. In 2009, he was named ACM Fellow and, in 2011, an IEEE Fellow.


To advance the interdisciplinary dialogue between informatics, humanities, and politics, TU Wien Informatics, the Institute for Human Sciences (IWM), the Austrian Federal Ministry for Climate Action, Energy, Mobility, Innovation, and Technology (BMK), TU Wien Informatics Doctoral School and the Center for Artificial Intelligence and Machine Learning (CAIML) cooperate within Digital Humanism Initiative.

Digital Humanism is at the forefront of current debates concerning human-technology interaction. In March 2022, TU Wien Informatics, the Center for Artificial Intelligence and Machine Learning (CAIML), and IWM launched the Digital Humanism Fellowship to foster academic exchange across disciplines and institutional boundaries.

This lecture is part of our AI+Logic Week, where we invite internationally renowned scientist in the field of AI to delve into technology and its impact on society. Whether you’re a student, a professional looking to expand your knowledge, or a citizen interested in the societal implications of AI – this week’s lectures will provide you with valuable insights and perspectives.

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Event location

TU Wien, Campus Gußhaus EI 7 Hörsaal
1040 Vienna
Gußhausstraße 27-29 Stiege 1, Erdgeschoß, Raum CDEG13



CAIML – Center for AI and Machine Learning
Theresa Aichinger-Fankhauser


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