A case study: Ethics alone are not enough to ensure fairness in algorithmic systems.

@_KarenHao on the UK& #39;s A-level mess with quotes from me, @FryRsquared and @techchildrights
https://www.technologyreview.com/2020/08/20/1007502/uk-exam-algorithm-cant-fix-broken-system/

The">https://www.technologyreview.com/2020/08/2... best minds in AI ethics are not even one step removed from this mess.

The goals here were clear: preserve standardisation in unprecedented times. But public trust? Fairness? Equity? People in charge ranked those goals lower than that of standardising marks across schools. But absence of & #39;ground truth& #39; here -- 2020 individual exam results --> FAIL.

We need instead to understand how these systems are rolled out in practice -- not just open the so-called black box but what& #39;s around that box: who built it, who is using it, what are they doing with it, who do they think it is for, what do people know/THINK they know about it.

How are we all going to be alert for the next time this happens? And trust me, this won& #39;t be the last that people will be shouting in the streets & #39;*&^% the algorithm& #39;.