AI policy, strategy, ethics and risk

What would governments need to know to make better decisions around AI, as users or as regulators?

U.S. Cities and States

Testified on biometric and facial recognition bills in Massachusetts legislature

Advised national convenings of city chief data officers, mayoral chiefs of staff and state attorneys general

Directed legal research on government algorithm use by Harvard Law School's Cyberlaw Clinic

Researched U.S. city use, knowledge and attitudes about machine learning and city government structure

Created an AI city use/knowledge/attitude survey for National League of Cities

Co-led development of Harvard Law workshops on the legal and societal impacts of AI and autonomous vehicles for national convening of state attorneys general

Wrote responsible innovation case study on Pittsburgh's machine learning fire risk tool from eight interviews

Assisted in development of World Economic Forum government AI procurement guidelines

MIT/Harvard AI and Governance Assembly Policy Pulse City AI team member

Policy team member, innovation task force, city of Somerville, MA

Press:

What might someone else do in five years, when they’re sitting in your chair. The Commons

Writing:

Buying your first AI, or “Never trust a used algorithm salesman”. Harvard Berkman Klein Center

Potholes, rats and criminals: A framework for AI ethical risk. Harvard Kennedy School

Speaking/workshops:

Lessons from the U.S. Constitution for city CDOs. Civic Analytics Network biannual convening. Harvard Kennedy School

Autonomous vehicle scenario and legal issue spotting workshop. AGTechForum. Harvard Law School

Artificial but not intelligent? A panel on the future of AI in the real world (panel). 4th International Conference on Predictive Applications and APIs, Boston, USA