Hands-on accelerated class on artificial intelligence and law & ethics to equip small teams of students to explore, design, and pitch AI-driven, ethical innovations to address some of the most pressing societal issues of our time, including:

Education and the Digital Divide | Racial Inequality in Policing | Legal + Coding Literacy for All
Environmental Conservation | Equal Access to Legal Services

• Space is limited, and only for Stanford Law students, CS/Engineering, and Business.
• 3-day course, Thursday, Mar. 31 – Sunday, Apr. 2, 2022.
• Required team formation and intro session on Thursday, Mar. 31, 2022.

What does it take to innovate and build companies/ventures in areas that address some of society’s most pressing needs? How might artificial intelligence and computational technologies contribute to exponential innovation in these areas? How can we properly address privacy considerations, prevent bias, and comply with law, regulation, and ethical standards to ensure that these innovative ventures provide solutions that have high social impact and are sustainable ventures?

You will learn and explore these questions in this bootcamp, while you work in a small team to build a startup idea addressing one of these pressing societal issues. You will then pitch your idea to a panel of VCs, public interest leaders, and AI entrepreneurs in a finale. No prior knowledge of AI or familiarity with the subject areas is necessary.

The workshop is taught by:

	Jay Mandal Chief Operating Officer at SAP, and Stanford CodeX fellow (third year teaching this bootcamp; also taught Stanford Law class “Startup Bootcamp for Ethical and Sustainable Development”); was CEO of Google Ventures-funded startup, and head M&A lawyer at Apple.
	Roland Vogl Executive director of both Stanford Codex and Stanford Program in Law, Science and Technology, and lecturer at Stanford Law School. He lectures in the areas of legal informatics, IP law and innovation.
	Megan Ma Residential CodeX Fellow and Managing Editor of the MIT Computational Law Report. Megan was previously a Lecturer in Law at Sciences Po, teaching courses in AI and Legal Reasoning, Legal Linguistics, and Health Law and Policy.
	Dan Linna Senior Lecturer & Director of Law and Technology Initiatives at Northwestern Pritzker School of Law & McCormick School of Engineering and Affiliated Faculty at Stanford CodeX. (Third year teaching this bootcamp.) A former Big Law partner, he teaches and does research in the areas of AI and computational technologies, AI and robotics law, and AI and legal reasoning.

Questions? Email co-organizers Megan Ma (Residential CodeX Fellow) and Jay Mandal at AILawBootcamp@gmail.com.