Responsible AI from the Lens of an Information Retrieval Researcher

Speaker:  Damiano Spina – Melbourne, VIC, Australia
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Abstract

The rapid advancement of Artificial Intelligence (AI) has brought immense benefits across numerous domains, but it is also well-known that it raises important challenges in terms of ethical and responsible practices in the development, application, and use of these technologies. While the concept of responsible AI is becoming more and more popular, practitioners and researchers may often struggle to characterize responsible practices in their own work. This lecture aims to illustrate the application of responsible practices in Information Retrieval (IR). The discussion explores responsible AI concepts such as positionality, participatory research, fairness, bias, misinformation management, and ethics, in the context of case studies derived from existing IR research. Material used for a tutorial on this topic is available at: https://www.damianospina.com/tutorial/responsible-ai/

About this Lecture

Number of Slides:  150
Duration:  60 - 240 minutes
Languages Available:  English, Italian, Portuguese, Spanish
Last Updated: 

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