What are the main challenges in evaluating AI systems?

What are the main challenges in evaluating AI systems?

Evaluating AI systems can be challenging due to issues like bias, transparency, and performance metrics.

Can you elaborate on bias in AI evaluation?

Bias in AI evaluation occurs when the data used to train models reflects societal biases, leading to unfair outcomes.

How can we mitigate these biases?

Mitigating biases involves using diverse datasets, regular audits, and implementing fairness-aware algorithms.

What role does transparency play in AI evaluation?

Transparency helps stakeholders understand how AI systems make decisions, which is crucial for trust and accountability.