“AI Localism In Practice: Examining How Cities Govern AI” Report
This report serves as a primer for policymakers, practitioners, AI Experts and the general public to learn about current municipal governance practices of AI. The report features fundamental governance methods that are being deployed by cities, mainly:
- Principles and Rights: foundational requirements and constraints of AI and algorithmic use in the public sector;
- Laws and Policies: regulation to codify the above for public and private sectors;
- Procurement: mandates around the use of AI in employment and hiring practices;
- Engagement: public involvement in AI use and limitations;
- Accountability and Oversight: requirements for periodic reporting and auditing of AI use;
- Transparency: consumer awareness about AI and algorithm use; and
- Literacy: avenues to educate policymakers and the public about AI and data.
Ten lessons and recommendations are then drawn from each of the governance mechanisms:
- Principles provide a North Star for governance;
- Public engagement provides a social license;
- AI literacy enables meaningful engagement;
- Tap into local expertise;
- Innovate in how transparency is provided;
- Establish new means for accountability and oversight;
- Signal boundaries through binding laws and policies;
- Use procurement to shape responsible AI markets;
- Establish data collaboratives to tackle asymmetries; and
- Make good governance strategic