AI Explainability and Model Risk Management
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This document introduces a speaker series hosted by QuantUniversity on AI explainability and model risk management. The next speaker will be Dr. Anupam Datta, a professor at Carnegie Mellon University and co-founder of Truera, who is passionate about enabling responsible adoption of AI. He has led groundbreaking research in areas like AI explainability and governance. Instructions are provided for registering to participate in an associated lab using a provided code.
AI Explainability and Model Risk Management
- 1. Qu Speaker Series AI Explainability and Model Risk Management Dr.Anupam Datta Truera & Carnegie Mellon University 2021 Copyright QuantUniversity LLC. Hosted By: Sri Krishnamurthy, CFA, CAP sri@quantuniversity.com www.quantuniversity.com 02/10/2021 Qu.Academy https://quspeakerseries22.splashthat.com/
- 2. 2 QuantUniversity • Boston-based Data Science, Quant Finance and Machine Learning training and consulting advisory • Trained more than 1000 students in Quantitative methods, Data Science and Big Data Technologies using MATLAB, Python and R • Building a platform for AI and Machine Learning Exploration and Experimentation
- 4. 4 Next Week
- 5. 5 • Anupam Datta is Professor of Electrical & Computer Engineering and Computer Science at CMU and Co-Founder of Truera. • Anupam is passionate about enabling responsible adoption of artificial intelligence. He has led groundbreaking research in the areas of AI explainability and governance as well as privacy and data protection. • Anupam obtained PhD and MS degrees from Stanford University and a BTech from the Indian Institute of Technology, Kharagpur, all in Computer Science. Dr.Anupam Datta
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- 8. 8 Demos and video available on QuAcademy Go to www.qu.academy 8
- 9. 9 Instructions for the Lab: 1. Go to https://academy.qusandbox.com/#/register and register using the code: "QUWINTERSCHOOL"
- 10. Thank you! Sri Krishnamurthy, CFA, CAP Founder and CEO QuantUniversity LLC. srikrishnamurthy www.QuantUniversity.com Contact Information, data and drawings embodied in this presentation are strictly a property of QuantUniversity LLC. and shall not be distributed or used in any other publication without the prior written consent of QuantUniversity LLC. 10