What are the ethical considerations in AI debugging?
Ethical considerations in AI debugging include transparency, accountability, and the potential impact on users and society.
Can you elaborate on transparency in AI debugging?
Transparency involves making the debugging process clear to stakeholders, ensuring they understand how decisions are made.
What about accountability? How does it apply to AI debugging?
Accountability means that developers and organizations must take responsibility for the AI's behavior and its consequences.
Are there any specific examples of ethical issues in AI debugging?
Yes, issues like bias in algorithms and the misuse of AI systems can arise during debugging, leading to ethical dilemmas.
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