Amnesty for Algorithms: Should Code Be Forgiven Like Humans?
When a human being commits a crime, societies debate whether rehabilitation is possible. Can the wrongdoer change? Should they be forgiven? Now consider a flawed algorithm: a bail recommendation system that unfairly penalizes minorities, or a hiring tool that weeds out women’s résumés. If the code is patched, if its “bias” corrected, do we grant it amnesty? Or does the stain of its past errors linger, shaping how we judge its future use?
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