Matthew Saltzman is a member of the Operations Research and Statistics faculty of Clemson University's School of Mathematical and Statistical Sciences. His research interests are in optimization and computation. Among the applications of interest is redistricting, including analysis and construction of district maps. In 2020, he joined the board of South Carolina's League of Women Voters to support their initiatives related to redistricting in the state. He continues to serve the League on issues related to election systems and processes. More details are here.

Virginia Dignum is Professor of Responsible Artificial Intelligence at Umeå University, Sweden where she leads the AI Policy Lab. She is also senior advisor on AI policy to the Wallenberg Foundations. She has a PHD in Artificial Intelligence from Utrecht University in 2004, is member of the Royal Swedish Academy of Engineering Sciences (IVA), and Fellow of the European Artificial Intelligence Association (EURAI). She is a member of the United Nations Advisory Body on AI, the Global Partnership on AI (GPAI), UNESCO’s expert group on the implementation of AI recommendations, OECD’s Expert group on AI, founder of ALLAI, the Dutch AI Alliance, and co-chair of the WEF’s Global Future Council on AI. She was a member of EU’s High Level Expert Group on Artificial Intelligence and leader of UNICEF's guidance for AI and children. Her new book “The AI Paradox” is planned for publication in late 2024.More details are here.

Josh Lawson directs Aspen Digital’s work at the intersection of AI, democracy, and social trust. He leads the AI Elections Initiative. Before joining Aspen, Josh was an executive at Meta Platforms, Inc. (fmr. Facebook), where he led policy and product work as Head of Electoral and Emerging Risk. 

He previously served as chief state elections counsel in North Carolina, as an editor at the White House, and as an attorney in private practice. Josh enjoys strategic work that aims to secures a democratic future in an era of technical change. He studied politics at UCLA (B.A.) and George Washington University (M.P.S.), law at the University of North Carolina (J.D.) and Duke University (LL.M.), and public policy as a Coro Fellow in Public Affairs.

Sriraam Natarajan is a Professor and the Director for Center for ML at the Department of Computer Science at University of Texas Dallas, a hessian.AI fellow at TU Darmstadt and a RBDSCAII Distinguished Faculty Fellow at IIT Madras. His research interests lie in the field of Artificial Intelligence, with emphasis on Machine Learning, Statistical Relational Learning and AI, Reinforcement Learning, Graphical Models and Biomedical Applications. He is a AAAI senior member and has received the Young Investigator award from US Army Research Office. He is the program co-chair of AAAI 2024. He has published over 100 conference papers, 30 journal papers and 2 books. 

Rachel See is Senior Counsel and Vice-Chair for Emerging Technology and People Analytics in Seyfarth Shaw’s Labor & Employment Department, based in its Washington, DC office. She focuses her practice on AI risk management, regulatory compliance, and governance issues. Rachel returned to private practice after spending more than a dozen years in public service in the federal government. She previously served as an EEOC Commissioner’s Senior Counsel for AI and Algorithmic Bias, leading initiatives emphasizing the applicability of employment discrimination laws to the use of artificial intelligence and working to educate lawyers and human resources professionals regarding the applicability of civil rights laws to AI and other technologies. Her previous roles at the EEOC included being the EEOC's Acting Executive Officer, a Special Assistant to the EEOC Chair, and the EEOC's Assistant General Counsel for Technology.

Bryant Walker Smith is an associate professor in the School of Law and (by courtesy) the School of Engineering at the University of South Carolina as well as an affiliate scholar at the Center for Internet and Society at Stanford Law School. 

Trained as a lawyer and an engineer, Bryant advises cities, states, countries, and the United Nations on emerging transport technologies. He coauthored the globally influential levels of driving automation, drafted a model law for automated driving, and taught the first legal course dedicated to automated driving (in 2012). Bryant is currently writing on what it means for a company to be trustworthy. His publications are available at newlypossible.org.

Before joining the University of South Carolina, Bryant led the legal aspects of automated driving program at Stanford University, clerked for the Hon. Evan J. Wallach at the United States Court of International Trade, and worked as a fellow at the European Bank for Reconstruction and Development. He holds both an LL.M. in International Legal Studies and a J.D. (cum laude) from New York University School of Law and a B.S. in civil engineering from the University of Wisconsin. Prior to his legal career, Bryant worked as a transportation engineer.

Ott Velsberg is a renowned Estonian IT specialist and government official, known for his expertise in data governance and data science. As the current Chief Data Officer (CDO) of Estonia, he is responsible for driving the country’s data policy and initiatives related to the use of data in the public sector. Velsberg has a wealth of experience in coordinating data governance and data science, with a focus on domains such as artificial intelligence, open data, citizen-centric data governance, data management, and digital transformation. Under his leadership, Estonia has gained a reputation as a trendsetter in data governance, open data, and artificial intelligence. With his passion for technology and data, he is making significant contributions to Estonia’s digital transformation and shaping the country’s future in data governance.

Matthew Wrightis Professor and Chair of Cybersecurity at Rochester Institute of Technology (RIT). Dr. Wright earned his PhD in Computer Science at UMass Amherst in 2005 and previously worked as a faculty member in Computer Science and Engineering at the University of Texas at Arlington from 2005-2016. He is the winner of a NSF CAREER Award.