AI learns from human data. Human data contains human bias.
Direct answer
AI bias is unfair or skewed output caused by biased training data, design choices or use. It matters at work when AI influences decisions about people, such as hiring or performance. Test with diverse examples, keep human oversight and follow your organisation's and local legal guidance.
Examples
- A résumé screener that favours patterns from past hires.
- A voice tool that works worse for some accents.
- Image tools that reinforce stereotypes.
What to do
- Do not use AI alone for decisions about people.
- Test it with varied inputs.
- Check results by group where appropriate and lawful.
- Document how it is used.
- Report issues.
Where Teyro fits
Teyro's AI at Work: Beginner course turns this into short lessons you can play in a few minutes a day. It has 230 lessons, and you can start free.
The bottom line
Bias is a design and oversight problem, not just a technical one.
