What are the main challenges in ethical AI design?
Some key challenges include bias in algorithms, transparency, accountability, and ensuring user privacy.
Can you explain how bias in algorithms occurs?
Bias can occur when the data used to train AI models reflects existing prejudices or lacks diversity.
What steps can be taken to mitigate these biases?
To mitigate biases, we can use diverse datasets, implement fairness checks, and involve multidisciplinary teams in the design process.
How important is transparency in AI systems?
Transparency is crucial as it builds trust, allows for accountability, and helps users understand how decisions are made.
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