What are the main challenges in AI decision-making?

What are the main challenges in AI decision-making?

Some key challenges include data bias, interpretability, ethical considerations, and the complexity of real-world scenarios.

Can you explain how data bias affects AI decisions?

Data bias can lead to unfair or inaccurate outcomes, as AI systems learn from historical data that may reflect societal prejudices.

What is interpretability in AI?

Interpretability refers to how well humans can understand the reasoning behind an AI's decision, which is crucial for trust and accountability.

How do ethical considerations impact AI development?

Ethical considerations guide the design and deployment of AI to ensure it aligns with societal values and does not harm individuals or groups.

What are some real-world examples of these challenges?

Examples include biased hiring algorithms, facial recognition inaccuracies, and autonomous vehicles making life-or-death decisions.