Near-term AI ethics is the study of 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 car, and autonomous weapons. By contrast, long-term AI ethics studies the questions arising from issues that only arise, or arise to a much greater extent, 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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