ALGORITHM-ASSISTED DECISION MAKING IN THE PUBLIC SECTOR: GOVERN ALGORITHMS, WHILE...
summary
Panelists report concrete findings and fixes: a Europe survey inspects 105 cases, 85 problematic uses of ADM including a biased UK exam grader and discriminatory tax algorithms; a city builds algorithm register.amsterdam.now and stops some tools after finding neighborhood and job‑match biases; vendors embed tooling (data sheets, Fairlearn, model cards), governance offices and “AI champs,” and recommend public registries, binding data‑access for researchers and independent audits. Specific policy proposals include risk‑based oversight, ban live facial recognition, mandatory procurement checks and post‑deployment review.
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chapters (7)
- 0:00Start
- 1:28Jennifer Kobe
- 4:22Cornelia Curtis Senior Director Rule of Law and Responsible Tech at Microsoft
- 29:58Responsible Ai Governance
- 1:02:29Risks in the Context of Health
- 1:08:21Use of Live Facial Recognition in Public Places
- 1:10:15Risks of Stifling Innovation
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