Event

Responsible Artificial Intelligence (AI)

Event Date(s): 11/04/2023

Location: ENG 101, Block 1 - Kenneth S Julien Building


The Department of Electrical and Computer Engineering presents an ACM Distinguished Speakers Event, Responsible Artificial Intelligence (AI) with speaker Dr. Ricardo Baeza- Yates, Director of Research, Institute for Experiential Al Northeastern University, Bay Area, on Tuesday April 11 from  5- 6 p.m. at ENG 101, Block 1 - Kenneth S Julien Building

 

This lecture covers five aspects of responsible AI:

  1. Discrimination (e.g., facial recognition, justice, sharing economy, language models)
  2. Phrenology (e.g., biometric based predictions) 
  3. Unfair digital commerce (e.g., exposure and popularity bias)
  4. Stupid models (e.g., minimal adversarial AI) 
  5. Indiscriminate use of computing resources (e.g., large language models).

 

These examples do have a personal bias but set the context for the second part where we address four challenges:

  • Too many principles (e.g., principles vs. techniques).
  • Cultural differences
  • Regulation 
  • Our cognitive biases

 

Register here: https://uwi.jotform.com/230734090105041   

About the Speaker 

Ricardo Baeza-Yates, areas of expertise are information retrieval, web search and data mining, data science and algorithms. He is currently a Professor at Northeastern University, Silicon Valley campus, since August 2017. 

He is the 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 co-author of the 2nd 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. 

In 2009, he was named ACM Fellow and in 2011 IEEE Fellow.

Open to: | General Public |


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