Laws and policies against risks
AI Governance Map
MIT × Georgetown CSET
A map of how AI governance measures address different risks.
Use this to explore the relationship between risks and policy responses.
Choose your role and situation to find questions for a real conversation.
Ask
Find questions for your situation.
Choose your role, then choose a situation. You will see prepared questions you can copy and take to a visit, a team meeting, or a conversation at home.
Your role
Your situation
Questions to bring
1. Choose your role
2. Choose your situation
A talk goes wrong when it becomes a debate to win. It goes well when people try to understand the same thing.
- A school or parent groupPTA, staff meeting, curriculum night.
- A clinic team or health boardMorbidity and quality, ethics, procurement.
- A congregation, council, or neighborhoodCivic life, mutual aid, a town that did not buy the tool but lives under it.
- Young people, and those who sit with themYouth group, classroom, library.
For I want to start a conversation
A congregation, council, or neighborhood
A way to begin
What decision in this place is already being shaped by a system we do not govern?
3. Questions to bring
- 01
What would public accountability look like for a tool we did not buy?
- 02
How do we talk about distant, severe risk without abandoning the harm that is already here?
- 03
Who is missing from the table that writes the next policy?
- 04
What is a small victory in ninety days, in this room's actual power?
Related concerns
Voter-intimidation content
AI-assisted voter intimidation uses fabricated threats or apparent authority to make people afraid to participate in an election.
Predictive policing
Predictive-policing feedback is a cycle in which past police activity helps direct future patrols, which then generate more records from the same places.
Youth and future-generations representation
AI governance can overlook young people and future generations when decisions prioritize current adult interests and short-term results.
Sources for this situation
These resources offer more detail. Each title opens the original source in a new tab.
Shared values, internationally
OECD AI Principles
OECD
A shared set of principles for responsible AI, including transparency, robustness, and accountability.
Use this to give a group a common starting point for discussing responsible AI.
Humanitarian practice
ICRC policy on artificial intelligence
International Committee of the Red Cross
The ICRC’s policy on how it approaches AI in humanitarian work.
Use this as an example when discussing AI, humanitarian data, or civilian protection.