What are the challenges of using heuristics in AI?

What are the challenges of using heuristics in AI?

Heuristics can simplify decision-making in AI, but they also introduce biases and limit flexibility. Would you like to know more?

Yes, can you explain how biases are introduced?

Biases in heuristics often arise from oversimplified assumptions or incomplete data, leading to skewed outcomes.

Are there specific examples of these biases in real-world AI applications?

Absolutely! For instance, facial recognition systems have shown racial biases due to training data that lacks diversity.

How can we mitigate these challenges?

Mitigating these challenges involves using diverse datasets, continuous testing, and incorporating ethical guidelines in AI development.