Ifeoma Ajunwa, JD, LLM, PhD, is an award-winning tenured law professor and author of the highly acclaimed book, The Quantified Worker, published by Cambridge University Press. At Emory, she is Asa Griggs Candler Professor of Law and founding director of the AI and the Future of Work Program at Emory Law. She is also the associate dean for projects and partnerships at Emory Law (starting January 2024). Ajunwa was recruited from the University of North Carolina School of Law where she was a tenured law professor and the founding director of the Artificial Intelligence Decision-Making Research (AI-DR) Program at UNC Law. Ajunwa is currently a visiting fellow at Yale Law School’s Information Society Project (ISP). She has been a faculty associate at the Berkman Klein Center at Harvard University since 2017. She was a 2019 recipient of the NSF CAREER Award and a 2018 recipient of the Derrick A. Bell Award from the Association of American Law Schools (AALS). She is an elected member of the American Law Institute and a Life Fellow of the American Bar Foundation. Ajunwa’s research interests are at the intersection of law and technology with a particular focus on the ethical governance, privacy, and discrimination issues associated with workplace AI and automated decision-making technologies. She also has an interest in law and literature and law and film.
Ajunwa has published both law review and peer review articles. Her publications in flagship law review journals include the California Law Review, Cardozo Law Review, the Georgetown Law Review, Fordham Law Review, North Carolina Law Review, and Northwestern Law Review, as well as top law journals for specialty areas including the top journal in law and technology (the Harvard Journal of Law and Technology), anti-discrimination law (Harvard Civil Rights-Civil Liberties Law Review), and employment and labor law (Berkeley Journal of Employment and Labor Law). Her peer review publications have been in the American Journal of Law and Equality, Organizational Theory, Research in the Sociology of Work, Journal of Law, Medicine, and Society, Big Data and Society. Along with Jeremias Adams-Prassl of Oxford University Law School, she has a second book, The Oxford Handbook on Algorithmic Governance and the Law forthcoming in 2024.
Ajunwa is an engaged public intellectual with an extensive list of bylines. She was a columnist at Forbes and has published op-eds in the New York Times, Nature, Washington Post, Harvard Business Review, Wired, Slate and The Atlantic, among others. She is also a contributor to Jotwell and the Law and Political Economy (LPE) blog. Her research and legal commentary have been featured by media outlets such as National Public Radio (NPR), the Wall Street Journal, CNN, the Guardian, and BBC. She has testified before Congress (the US House Committee on Education and Labor), the Equal Employment Opportunity Commission, and has also spoken before the Consumer Financial Protection Bureau. Professor Ajunwa is a Founding Board Member of the Labor Tech Research Network which is an international group of scholars committed to the research of the ethics of AI used in the workplace and for labor. She is a regular keynote speaker at international conferences and has consulted or served as advisory board member for Fortune 500 tech companies.
Expertise: Law and Technology, AI and Ethics, Privacy Law, Business Law, Anti-Discrimination, Race and Law, Employment and Labor Law, Law and Health, Law and Literature, Law and Film
Cheng-chi “Kirin” Chang (張正麒) is a Research Fellow at the U.S.-Asia Law Institute of NYU School of Law. He is also an Affiliate Research Fellow of the AI and the Future of Work Program at Emory University School of Law, where he formerly served as the Associate Director & Academic Fellow. His areas of focus include Law and Technology, Privacy, Intellectual Property, Cybersecurity, International Law, AI and Law, Contracts, Corporations, Corporate Social Responsibility, and emerging technologies. His scholarship has been published or is forthcoming in the UCLA Law Review, the Minnesota Law Review (Headnotes), the University of Illinois Law Review (Online, twice), the Wisconsin Law Review (Forward), the University of Pennsylvania Journal of International Law, the Georgetown Journal of International Law, the UCLA Journal of International Law and Foreign Affairs, the Richmond Journal of Law and Technology, the Washington Journal of Law, Technology & Arts, and the Tulane Environmental Law Journal, among others.
Chang has legal experience with multinational companies such as Volkswagen Group, Nestlé, Merck & Co., and Boehringer Ingelheim. He has also served as a Law Research Associate at the Institute for Studies on AI & Law at Tsinghua University in Beijing, China. He received his J.D. from the University of Florida Levin College of Law, where he attended on a full scholarship and was Senior Articles Editor of the Journal of Technology Law and Policy. He also holds an LL.B. from National Chung Hsing University School of Law in Taiwan. He is admitted to the New York and Texas Bars. Chang is fluent in Mandarin Chinese and English, and enjoys playing badminton in his free time.
Yinn-Ching Lu is a legal scholar focusing on constitutional law and technology law from an interdisciplinary perspective. He holds a Master of Laws from The University of Chicago Law School, a Master of Laws from National Taiwan University, and a Bechlor of Laws from National Chengchi University. He is currently an Doctoral candidate at Emory University School of Law. His recent works focus on Artificial Intelligence Regulation and the practices of the Taiwan Constitutional Court. He served as a law clerk at the Taiwan Constitutional Court from 2021 to 2023 and practiced as an attorney in Taiwan from 2018 to 2021.
Scott Worland, PhD, serves as Head of Engineering at Norm AI, an NYC-based software company that automates regulatory compliance for large enterprises through AI. He brings over a decade of experience building AI systems across academia, government, and industry sectors. Scott earned his doctorate in engineering from Vanderbilt University with research focused on physics-guided machine learning. His career includes postdoctoral research at Cornell University, 5 years as an ML researcher with the federal government, and 6 years building enterprise-grade software and leading engineering teams. At Norm AI, he directs engineering initiatives that develop advanced software solutions based on computational law principles. At Emory, Scott collaborates with Emory Law School faculty to create hands-on experiences for students building custom AI systems for complex legal workflows.