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Evidence record 8300 · automatically gathered

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

Calls for heightened consideration of fairness and accountability in algorithmically-informed public decisions-like taxation, justice, and child protection-are now commonplace. How might designers support such human values? We interviewed 27 public sector machine learning practitioners across 5 OECD countries regarding challenges understanding and imbuing public values into their work. The results suggest a disconnect between organisational and institutional realities, constraints and needs, and

Record details

Published: 20 April 2018
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Children & education · Transparency
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (20 April 2018), “Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making,” evidence record 8300, https://ethics.ai/record/8300 (originally published by OpenAlex).

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