What are the limitations of heuristics in AI?

What are the main limitations of using heuristics in AI?

Heuristics can lead to oversimplification, bias, and may not always yield optimal solutions.

Can you give an example of a situation where heuristics might fail?

Sure! In complex decision-making scenarios, like medical diagnosis, heuristics might overlook critical factors.

How do heuristics compare to algorithms in AI?

Heuristics are faster and simpler but less precise than algorithms, which are more systematic and thorough.

Are there any specific fields where heuristics are particularly problematic?

Yes, fields like finance and healthcare can suffer from heuristic biases, leading to poor decision-making.

What can be done to mitigate the limitations of heuristics?

Incorporating data-driven approaches and continuous learning can help reduce the impact of heuristic limitations.