Near-term AI ethics is the branch of AI ethics that studies the moral questions arising from issues in AI that society is already facing or will likely face very soon. Examples include concerns about data privacy, algorithmic bias, self-driving cars, and autonomous weapons. Long-term AI ethics, by contrast, is the branch of AI ethics that studies the moral questions arising from issues expected to arise when AI is much more advanced than it is today. Examples include the implications of artificial general intelligence or transformative artificial intelligence.[1][2]

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