Ethics in Artificial Intelligence? -

A panel discussion with Reid Blackman (Virtue), Chris Wiggins (NYTimes), Tanushree Luke (Capital One), and Laurie Segall (CNN)

New technologies like artificial intelligence, augmented/virtual reality, and biotech are increasingly delivering huge impacts on society. In the absence of regulation, private companies yield tremendous power and responsibility. What are the ethical implications of what these companies are doing? What are the risks we face? What can we do to ensure companies act responsibly? These and other issues will be explored by ethicists and emerging tech experts in this not-to-be missed panel conversation.

Moderated by Laurie Segall:
Laurie Segall (born August 18, 1985) is an American journalist. Noted for interviewing leaders in technology, including Mark Zuckerberg and Tim Cook, among others, she was the senior technology correspondent and an editor-at-large for CNN for more than a decade. Segall also developed and hosted Mostly Human, an investigative docu-series that explored the impact of technology on sex, love, and death.


Reid Blackman:
Reid Blackman, Ph.D., is Founder and CEO of Virtue, an ethics consultancy that focuses on corporate governance and emerging technologies like artificial intelligence, biotech, and virtual/augmented reality. He protects his client’s brands by devising ethical risk mitigation strategies and running emerging tech products through an ethical risk due diligence process.

Prior to launching Virtue, Reid was a Fellow at the Parr Center for Ethics at UNC Chapel Hill and a professor of philosophy at Colgate University. He received his B.A. from Cornell University, his M.A. from Northwestern University, and his Ph.D. from the University of Texas in Austin.

Reid sits on the “Methods to Guide Ethical Research and Design” committee for the IEEE Global Initiative on the Ethics of Autonomous and Intelligent Systems and is a member of the EU AI Alliance. When he isn’t doing ethics you can find him with his wife and children, unless there’s rock climbing to be done.

Chris Wiggins:
Chris Wiggins is an associate professor of applied mathematics at Columbia University and the Chief Data Scientist at The New York Times. At Columbia he is a founding member of the executive committee of the Data Science Institute, and of the Department of Applied Physics and Applied Mathematics as well as the Department of Systems Biology, and is affiliated faculty in Statistics.

He is a co-founder and co-organizer of hackNY, a nonprofit which since 2010 has organized once a semester student hackathons and the hackNY Fellows Program, a structured summer internship at NYC startups.

Prior to joining the faculty at Columbia he was a Courant Instructor at NYU (1998-2001) and earned his PhD at Princeton University (1993-1998) in theoretical physics. He is a Fellow of the American Physical Society and is a recipient of Columbia's Avanessians Diversity Award.

Tanushree Luke:
Tanushree (Tanu) Luke, Ph.D. currently heads the development of predictive machine learning/artificial intelligence (ML/AI) capabilities as Director of Insight Generation and Software Engineering for Capital One’s Conversational AI Platform. In this role, she oversees the development and execution of all predictive and behavioral ML/AI applications to ensure a proactive and personalized customer experience for Capital One’s intelligent assistant, Eno.

Tanu is a theoretical physicist who has spent over 15 years applying advanced analytics and ML/AI to solve problems in the government, national security, and academic sectors, including at the Department of Defense (DOD), Department of Homeland Security (DHS), the Department of Energy (DOE), and Harvard Medical School (HMS). Tanu was the Chief Data Scientist and Head of Advanced Analytics at BitVoyant, where she led the development of predictive analytics solutions in cybersecurity, cyberintelligence, and business intelligence. Tanu also served as the Program Technical Lead for the DOD - Defense Advanced Research Projects Agency (DARPA) Network Defense program, where she oversaw the development and transition of a complete suite of cyberdefense capabilities from fundamental research and development to operational and deployed capability for the DOD.

Tanu is a recognized thought leader in the area of ethical, fair, responsible, and explainable applications of ML/AI. She has been an invited speaker at several conferences, notably at NeurIPS, Society for Industrial and Applied Math (SIAM), Organization for Computational Neuroscience (CNS), amongst others. Tanu has given keynotes / guest lectures at the McDonough School of Business at Georgetown University, Howard University, and the National Institutes of Health (NIH) on the topics of ML/AI, the risks of inadvertent introduction of bias into ML/AI, and advanced analytics applications. Tanu also served as co-organizer, panelist, and moderator for the Capital One-hosted Fair and Responsible AI Symposia in both 2018 and 2019.