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.

Source: [1802.01029] Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

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