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C3.ai Digital Transformation Institute Colloquium on Digital Transformation Science Webinar

Event Type
Lecture
Sponsor
C3.ai Digital Transformation Institute
Virtual
wifi event
Date
Oct 1, 2020   3:00 pm  
Speaker
Rayid Ghani, Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy, Carnegie Mellon University
Registration
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The next C3.ai Digital Transformation Institute Colloquium on Digital Transformation Science webinar will be Thursday, October 1 at 3:00 p.m. U.S. Central via Zoom. Presenting "Improving Fairness & Equity in Policy Applications of Machine Learning" will be Rayid Ghani, Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy, Carnegie Mellon University. Registration is required to attend this webinar.

Abstract: We are in the early stages of using AI, ML, and Data Science to help make better policy decisions. Governments and nonprofits have started to explore how to improve society by tackling problems such as preventing children from getting lead poisoning, reducing police violence and misconduct, and increasing vaccination rates. As the impact of the COVID-19 pandemic has continued to increase, both ML researchers and practitioners have been proposing and developing methods to better understand, predict, and mitigate the spread, and governments have been exploring the use of these tools to better guide policy decisions. The AI and ML tools will hopefully be important elements of society’s efforts to overcome COVID-19, but as with any application of machine learning and AI, they also pose risks of introducing or exacerbating disparities. In this talk, I’ll give examples of recent work that highlights the use of ML/AI to achieve fair and equitable outcomes and challenges that need to be tackled in order to have social and policy impact in a fair and equitable manner.

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