Why XAI: Winning in court

Broad use of AI will be accepted much more quickly if we adapt it to our centuries old institutions, rather than making changes to our institutions a prerequisite for AI adoption.  Our legal system is a prime example –  black-box ‘gobbledygook’ will be dismissed and explainable approaches will win out.

“… many algorithms … run up against the so-called black box problem. They may be able to make statistically sound decisions, but they can’t easily explain how they made them. In a recent Supreme Court hearing over partisan gerrymandering in Wisconsin, Chief Justice John Roberts dismissed research-backed methods to measure gerrymandering as … ‘gobbledygook’ … 

…. [most] algorithms are used in low-risk scenarios, he explains, like advertising, where companies want to target customers across a range of platforms. If they target the wrong customer, at worst, they’ve lost a marginal amount of money. In court, it could mean losing the case altogether. “There is really no room for error,” Stewart says …

– A Dead-Simple Algorithm Reveals the True Toll of Voter ID Laws 

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