Database of named risks
AI Risk Repository
MIT AI Risk Initiative
A collection of AI risks, organized by the kind of harm and how it arises.
Use this when you need an existing taxonomy to support research or discussion.
Choose your role and situation to find questions for a real conversation.
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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
You do not need a framework to have a stake. You need a way in that does not drown you.
For I want to understand this
I already use these tools
A way to begin
What am I trusting this with, and what would I need to know to keep using it with open eyes?
3. Questions to bring
- 01
What does this tool keep of me, and who else can see it?
- 02
When it is fluent, how do I tell that from true?
- 03
What would I refuse to let it decide, even if it is faster?
- 04
If it were wrong in a way that mattered, who would I tell?
Related concerns
Cross-context prompt injection
Cross-context prompt injection occurs when instructions from one conversation, user, or shared workspace improperly influence another.
AI companions and adolescent development
AI companions may affect adolescent development when they become a major setting for learning about trust, boundaries and relationships.
Sources for this situation
These resources offer more detail. Each title opens the original source in a new tab.
How to manage, not only name
NIST AI Risk Management Framework
U.S. National Institute of Standards and Technology
A voluntary framework for organizing work to identify, assess, and manage AI risks.
Use this when your organization needs a process for managing AI risk.