
Sign up to save your podcasts
Or
Join Kevin and Suresh as they discuss the latest tools and frameworks that companies can use to effectively combat algorithmic bias, all while navigating the complexities of integrating AI into organizational strategies. Suresh describes his experiences at the White House Office of Science and Technology Policy and the creation of the Blueprint for an AI Bill of Rights, including its five fundamental principles—safety and effectiveness, non-discrimination, data minimization, transparency, and accountability. Suresh and Kevin dig into the economic and logistical challenges that academics face in government roles and highlight the importance of collaborative efforts alongside clear rules to follow in fostering ethical AI. The discussion highlights the importance of education, cultural shifts, and the role of the European Union's AI Act in shaping global regulatory frameworks. Suresh discusses his creation of Brown University's Center on Technological Responsibility, Reimagination, and Redesign, and why trust and accountability are paramount, especially with the rise of Large Language Models.
Suresh Venkatasubramanian is a Professor of Data Science and Computer Science at Brown University. Suresh's background is in algorithms and computational geometry, as well as data mining and machine learning. His current research interests lie in algorithmic fairness, and more generally the impact of automated decision-making systems in society. Prior to Brown University, Suresh was at the University of Utah, where he received a CAREER award from the NSF for his work in the geometry of probability. He has received a test-of-time award at ICDE 2017 for his work in privacy. His research on algorithmic fairness has received press coverage across North America and Europe, including NPR’s Science Friday, NBC, and CNN, as well as in other media outlets. For the 2021–2022 academic year, he served as Assistant Director for Science and Justice in the White House Office of Science and Technology Policy.
Blueprint for an AI Bill of Rights
Brown University's Center on Technological Responsibility, Reimagination, and Redesign
Brown professor Suresh Venkatasubramanian tackles societal impact of computer science at White House
Want to learn more? Engage live with Professor Werbach and other Wharton faculty experts in Wharton's new Strategies for Accountable AI online executive education program. It's perfect for managers, entrepreneurs, and advisors looking to harness AI’s power while addressing its risks.
5
2323 ratings
Join Kevin and Suresh as they discuss the latest tools and frameworks that companies can use to effectively combat algorithmic bias, all while navigating the complexities of integrating AI into organizational strategies. Suresh describes his experiences at the White House Office of Science and Technology Policy and the creation of the Blueprint for an AI Bill of Rights, including its five fundamental principles—safety and effectiveness, non-discrimination, data minimization, transparency, and accountability. Suresh and Kevin dig into the economic and logistical challenges that academics face in government roles and highlight the importance of collaborative efforts alongside clear rules to follow in fostering ethical AI. The discussion highlights the importance of education, cultural shifts, and the role of the European Union's AI Act in shaping global regulatory frameworks. Suresh discusses his creation of Brown University's Center on Technological Responsibility, Reimagination, and Redesign, and why trust and accountability are paramount, especially with the rise of Large Language Models.
Suresh Venkatasubramanian is a Professor of Data Science and Computer Science at Brown University. Suresh's background is in algorithms and computational geometry, as well as data mining and machine learning. His current research interests lie in algorithmic fairness, and more generally the impact of automated decision-making systems in society. Prior to Brown University, Suresh was at the University of Utah, where he received a CAREER award from the NSF for his work in the geometry of probability. He has received a test-of-time award at ICDE 2017 for his work in privacy. His research on algorithmic fairness has received press coverage across North America and Europe, including NPR’s Science Friday, NBC, and CNN, as well as in other media outlets. For the 2021–2022 academic year, he served as Assistant Director for Science and Justice in the White House Office of Science and Technology Policy.
Blueprint for an AI Bill of Rights
Brown University's Center on Technological Responsibility, Reimagination, and Redesign
Brown professor Suresh Venkatasubramanian tackles societal impact of computer science at White House
Want to learn more? Engage live with Professor Werbach and other Wharton faculty experts in Wharton's new Strategies for Accountable AI online executive education program. It's perfect for managers, entrepreneurs, and advisors looking to harness AI’s power while addressing its risks.
1,646 Listeners
44,008 Listeners
32,095 Listeners
3,473 Listeners
2,661 Listeners
9,336 Listeners
111,059 Listeners
5,960 Listeners
5,388 Listeners
409 Listeners
5,495 Listeners
15,495 Listeners
1,049 Listeners
3,369 Listeners
512 Listeners