Towards Safe, Secure, and Trustworthy Machine Learning Applications in Cyber-Physical Systems

Seminar talk titled "Towards Safe, Secure, and Trustworthy Machine Learning Applications in Cyber-Physical Systems"

Title Of the Talk:LLMs for Everybody: How inclusive are the LLMs today and Why should we care?
Speaker:Prof. Monojit Choudhury
Host Faculty: Dr. Maunendra Sankar Desarkar
Date & Time: 16th January 2024, 12:00 noon
Seminar venue: A-220


Large Language Models (LLMs) have revolutionized the field of NLP and natural human-computer interactions; they hold a lot of promise, but are these promises equitable across countries, languages and other demographic groups? Research from our group as well as from around the world is constantly revealing that LLMs are biased in terms of their language processing abilities in most but a few of the world's languages, cultural awareness (or lack thereof) and value alignment. In this talk, I will highlight some of our recent findings around value alignment bias in the models and argue why we need models that can reason generically across moral values and cultural conventions.

Speaker Profile:

Monojit Choudhury is a professor of Natural Language Processing at Mohd bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi. Prior to this, he was a principal scientist at Microsoft Research Lab and Microsoft Turing, India. He is also a professor of practice at Plaksha University, and an adjunct professor at IIIT Hyderabad. Prof Choudhury's research interests lie in the intersection of NLP, Social and Cultural aspects of Technology use, and Ethics. In particular, he has been working on multilingual aspects of large language models (LLMs), their use in low resource languages and making LLMs more inclusive and safer by addressing bias and fairness aspects. Prof Choudhury is the general chair of Indian national linguistics Olympiad and the founding co-chair of Asia-Pacific linguistics Olympiad. He holds a BTech and PhD degree in Computer Science and Engineering from IIT Kharagpur.

Tuesday, 16th January 2024, 12:00 noon