Trustworthy AI
An umbrella for the properties an AI system needs to be relied on: valid, safe, secure, accountable, explainable, fair, privacy-enhanced.
Trustworthy AI is the framing NIST uses in the AI Risk Management Framework, listing characteristics a system should demonstrate rather than a single score to hit. The characteristics trade off against each other, so the work is balancing them in context. It is deliberately sector-agnostic.
In practice: A system can be accurate and still untrustworthy if nobody can explain or contest it.
Where this comes up
- AI Layoffs: Trends, Impacts, and What Lies Ahead
- Will AI Replace Civil Engineers? Understanding the Future of the Profession
- Will AI Replace Financial Analysts? Understanding the Impact of AI on the Financial Sector
- Will AI Replace Software Engineers? Understanding the Future of Coding
- Will AI Replace Writers? Understanding the Impact of AI on the Writing Industry