In chapter 1 we saw how ethics can be concrete in the sense that it’s not mushy touchy-feely opinion, so let’s everyone shrug their shoulders and move on. Ethical beliefs are about the world, specifically, about what is right and wrong, good and bad, permissible and impermissible, and organizations can get ethics right or wrong. In chapters 2 through 4, we dug into the details of three complex ethical issues in AI: bias, explainability, and privacy. Through an understanding of those issues, we learned a variety of Structure from Content Lessons.
All of this and more must ultimately coalesce into an AI ethical risk program: an articulation of how a Structure in your organization gets created, ...
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