UN AI for Good – Law Track Conference
by CodeX – The Stanford Center for Legal Informatics in collaboration with DLA Piper LLP
The UN AI for Good – Law Track Conference is an annual event dedicated to exploring the transformative potential of artificial intelligence in the legal sector. Organized by CodeX – The Stanford Center for Legal Informatics in collaboration with DLA Piper LLP, the conference aims to harness AI to promote sustainable, ethical, and responsible legal systems.
The conference covers a range of critical topics, including ethical AI governance, AI security and risk mitigation, AI applications for social good, the future of work with AI, and international cooperation on AI governance. Sessions feature thought leaders from industry and academia discussing frameworks for responsible AI, addressing issues such as algorithmic bias, fairness, transparency, and accountability.
Attendees can expect practical insights into AI's role in addressing societal challenges like access to justice, healthcare, education, environmental sustainability, and poverty alleviation. The event also provides opportunities for networking with professionals and experts in the field, fostering collaboration and innovation in AI applications for law.
Legal professionals, policymakers, technologists, and academics interested in the intersection of AI and law should attend to stay informed about the latest developments, share best practices, and contribute to shaping a future where AI is used for the greater good in legal systems.
Categories
Speakers(26)
Arghya Bhattacharya
Co-Founder and Chief Technology Officer at Adalat AI
Arghya Bhattacharya is the Co-Founder and Chief Technology Officer at Adalat AI, an organization committed to building AI solutions for justice systems to end judicial delays and improve access to justice.
Ashley Carr
Attorney at DLA Piper
Ashley Carr is an attorney at DLA Piper, specializing in ethical considerations surrounding the development, deployment, and regulation of AI technologies.
Beth Henderson
Bogdana Rakova
Christina Q. Knight
Dan Hendrycks
Danny Tobey
Partner at DLA Piper
Danny Tobey is a doctor, lawyer, and software founder who leads DLA Piper's AI practice, advising Fortune 10 companies on AI governance and compliance. He has been recognized as the Financial Times Innovative Lawyer of the Year and a Chambers Global Market Leader in AI.
Diane Homolak
Dina Waked
Heng Wang
Professor and Lee Kong Chian Fellow at Singapore Management University
Heng Wang is a Professor and Lee Kong Chian Fellow at the Yong Pung How School of Law, Singapore Management University, focusing on governance of digital transformation and addressing uncertainties related to AI.
John Gibson
Kathy Baxter
Kim van Sparrentak
Lisa Dewey
Attorney at DLA Piper
Lisa Dewey is an attorney at DLA Piper, focusing on AI applications for social good, including access to justice and legal systems.
Marci Harris
Margaret Hagan
Director at Stanford Law School
Margaret Hagan is the Director of the Legal Design Lab at Stanford Law School, focusing on using AI to enhance human rights protections and access to justice.
Maya Markovich
Vice President at AAA-ICDR Institute
Maya Markovich is Vice President of the AAA-ICDR Institute and Executive Director of the Justice Technology Association, bringing bold ideas for justice equity into practice.
Nathaniel Persily
Neil Sahota
Sam Tyner-Monroe
Attorney at DLA Piper
Sam Tyner-Monroe is an attorney at DLA Piper, focusing on security challenges posed by AI systems, including vulnerabilities and adversarial attacks.
Samuel Dahan
Sateesh Nori
Shreya Rajpal
Tony Samp
Principal Policy Advisor at DLA Piper
Tony Samp is a Principal Policy Advisor at DLA Piper, representing clients before the US Congress and federal agencies, focusing on national security, artificial intelligence, space, and emerging technology.
Veena Dubal
Zev Eigen
Senior Director of Data Science at DLA Piper
Zev Eigen is the Senior Director of Data Science at DLA Piper, where he tests clients' commercial algorithms for bias and disparate impact in light of regulatory standards and ethical principles.
Event Details
- Date
- May 15-16, 2025
- 2 days
- Location
- 🇺🇸 Stanford, United States
- Paul Brest Hall, Stanford Law School
- Audience
- Legal professionals, policymakers, technologists, and academics