Where: Building 9; Room 2325
Credit: 6
Description
Machine learning has been in use for over 15 years but has gained prominence due to the dramatic increase in the availability of data and the speed with which it can be processed. ML can impact who sees job ads, gets recruited, is interviewed, succeeds in an interview, and ultimately gets hired, which may determine compensation, promotion, and termination. AI may perpetuate historical discrimination or create new biases.
We have learned from a few decades of Internet security and privacy research that often thinking about them much earlier in a project life cycle reduces the chances of discovering problems later. The speed of AI applications requires us to re-learn those lessons in the context of AI governance and generative AI. Trying to check for and mitigate the absence of fairness retroactively is often a losing proposition -- we can see this in the large number of ML bias incidents.
Thus, AI Governance is essential. We examine this issue in two parts: the first focuses on AI governance, and the second on generative AI. The two areas we focus on are healthcare and economics.
Balachander Krishnamurthy
Balachander Krishnamurthy is a lead inventive scientist at AT&T Labs--Research. He is one of 66 AT&T Technical Fellows in the company's 146 year history -- the highest honor given by the company to their technical employees. His focus of research is in the areas of fairness in Machine Learning, AI Governance, Internet privacy, and Internet measurements. He has authored and edited ten books, published over one hundred and thirty technical papers, holds eighty five patents, and has given invited talks in thirty five countries. He co-founded the successful ACM Internet Measurement Conference in 2000 and the Conference on Online Social Networks. He has been on the thesis committee of several PhD students, collaborated with over eighty researchers worldwide, and given tutorials at several industrial sites and conferences. His book "Internet Measurements: Infrastructure, Traffic and Applications" (525pp, Wiley, with Mark Crovella) is the first book focusing on Internet Measurement. His previous book with Jen Rexford, 'Web Protocols and Practice: HTTP/1.1, Networking Protocols, Caching, and Traffic Measurement' (672 pp, Addison-Wesley), is the first in-depth book on the technology underlying the World Wide Web, and has been translated into Portuguese, Japanese, Russian, and Chinese.
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