AI Safety & Responsible AI
Responsible AI
Practices for developing and using AI in ways that are fair, accountable, safe, and appropriate.
Example
A hiring tool is reviewed for fairness, privacy, transparency, and human oversight.
Why it matters
It helps teams consider affected people throughout development and everyday use.
You'll hear it
“Who is checking how this change affects the people using it?”
Can you control it?
Sometimes
Sometimes. Some products or workflows let you influence responsible AI, while others keep it fixed or manage it automatically. Check the settings and documentation for the tool you are using.
Common questions
- Is responsible AI one particular technical tool?
- No. It involves choices, processes and oversight as well as technical measures.
- Can different responsible goals conflict?
- Yes. Privacy, usefulness, transparency and other aims can require tradeoffs.
- Does adopting principles prove they are followed?
- No. The important question is how those principles affect actual decisions and behavior.