What is evaluation bias in AI?

What is evaluation bias in AI?

Evaluation bias refers to systematic errors in assessing AI performance, often due to biased data or evaluation methods.

Can you give me an example of evaluation bias?

Sure! An example is when an AI model trained on predominantly male data performs poorly on female data, leading to biased outcomes.

How can we mitigate evaluation bias?

Mitigating evaluation bias can involve using diverse datasets, regular audits, and incorporating fairness metrics in evaluations.

What are the consequences of ignoring evaluation bias?

Ignoring evaluation bias can lead to unfair treatment of certain groups, loss of trust in AI systems, and potential legal issues.