Tim Hwang is the former Director of the Harvard-MIT Ethics and Governance of AI Initiative, a philanthropic project working to ensure that machine learning and autonomous technologies are researched, developed, and deployed in the public interest. Previously, he was at Google, where he was the company's global public policy lead on artificial intelligence, leading outreach to government and civil society on issues surrounding the social impact of the technology. Called “The Busiest Man on the Internet” by Forbes, Hwang’s work has appeared in The New York Times, The Washington Post, Wired, The Atlantic, and The Wall Street Journal, among others. Tim's current research focuses on the geopolitical aspects of computational power and machine learning hardware, and the parallels between historical common law development and platform content policies.

What happens when you combine the perspective and experience of one of the most successful cyber security law enforcement officials of all time with the true stories and insights of the former mastermind behind one of the most highly-skilled hacking networks the world has ever seen? With experience on both sides of the cyber security equation—Chris Tarbell as a former law enforcement official and Hector Monsegur a former "black hat hacker" affiliated with the Anonymous/LulzSec collective—Hector Monsegur and Chris Tarbell deliver one of the most heart-pounding and informative presentations on the lecture circuit today.

Rayid Ghani is a Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. Rayid is a reformed computer scientist and wanna-be social scientist, but mostly just wants to increase the use of large-scale AI/Machine Learning/Data Science in solving large public policy and social challenges in a fair and equitable manner. Among other areas, Rayid works with governments and non-profits in policy areas such as health, criminal justice, education, public safety, economic development, and urban infrastructure. Rayid is also passionate about teaching practical data science and started the Data Science for Social Good Fellowship that trains computer scientists, statisticians, and social scientists from around the world to work on data science problems with social impact.