A practical guide to responsible AI (sponsored by PwC)
As AI is adopted in more diverse applications, businesses begin to realize the need for appropriate oversight of such systems. To help you address the risks of AI in the business and fully realize the opportunities, Anand Rao outlines a responsible AI framework and toolkit developed by PwC to enable end-to-end governance of systems, identify and contextualize ethical principles, consider the regulatory environment, and address performance needs and trade-offs with respect to bias, interpretability, robustness, security and safety. Contextualized ethical AI principles enable a business to embed AI and related priorities into strategic objectives, including the need for interpretability of specific systems to relevant stakeholders: executives, end users, regulators, and process owners. Anand provides multiple case studies of model interpretability and the explanations of AI decisions to different stakeholders—from domain experts to data scientists.
This session is sponsored by PwC.
What you'll learn
- Discover a responsible AI framework
Anand Rao is a partner in PwC’s Advisory Practice and the innovation lead for the Data and Analytics Group, where he leads the design and deployment of artificial intelligence and other advanced analytical techniques and decision support systems for clients, including natural language processing, text mining, social listening, speech and video analytics, machine learning, deep learning, intelligent agents, and simulation. Anand is also responsible for open source software tools related to Apache Hadoop and packages built on top of Python and R for advanced analytics as well as research and commercial relationships with academic institutions and startups, research, development, and commercialization of innovative AI, big data, and analytic techniques. Previously, Anand was the chief research scientist at the Australian Artificial Intelligence Institute; program director for the Center of Intelligent Decision Systems at the University of Melbourne, Australia; and a student fellow at IBM’s T.J. Watson Research Center. He has held a number of board positions at startups and currently serves as a board member for a not-for-profit industry association. Anand has coedited four books and published over 50 papers in refereed journals and conferences. He was awarded the most influential paper award for the decade in 2007 from Autonomous Agents and Multi-Agent Systems (AAMAS) for his work on intelligent agents. He is a frequent speaker on AI, behavioral economics, autonomous cars and their impact, analytics, and technology topics in academic and trade forums. Anand holds an MSc in computer science from Birla Institute of Technology and Science in India, a PhD in artificial intelligence from the University of Sydney, where he was awarded the university postgraduate research award, and an MBA with distinction from Melbourne Business School.
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