In Part 1, we discussed the ways in which checkboxing fails for AI Ethics: it is fragile, blunt, and closed. In Part 2, we introduce an alternative that avoids the pitfalls of checkboxing: an inquiry-based approach to AI Ethics.
As a professor of philosophy, inquiry as a strategy for grappling with complex challenges is well-known to me. It’s an approach that goes back at least to Socrates' call to live an examined life , and was crystallized in John Dewey's philosophy of education .
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Checkboxing. You’re probably familiar with this ubiquitous aspect of corporate compliance. Whether you’re on a board, run your own company, or work 9–5, most organizations require attendance at mandatory training sessions. The topics may be important and the goals laudable, but in the end they too often become about checking off boxes. It happens in the private, non-profit, and public sectors alike.
When it comes to AI Ethics, checkboxing isn’t just a tiresome exercise — it’s actively harmful to an organization’s interests.
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