What are the best practices for using AI in evaluation processes?

What are the best practices for using AI in evaluation processes?

Some best practices include ensuring data quality, maintaining transparency, and involving human oversight.

How can I ensure data quality when using AI?

You can ensure data quality by validating data sources, cleaning data, and regularly updating datasets.

What role does transparency play in AI evaluations?

Transparency helps build trust and allows stakeholders to understand how AI decisions are made.

Can you give examples of human oversight in AI evaluations?

Examples include having human reviewers assess AI outputs and implementing feedback loops for continuous improvement.

What are common pitfalls to avoid in AI evaluations?

Common pitfalls include bias in data, lack of clear objectives, and ignoring ethical considerations.