AIDLC–governance indicator framework: a lifecycle-based approach to institutional AI governance
Governments increasingly deploy algorithmic and AI-enabled systems in welfare administration, fraud detection, eligibility determination, and frontline service delivery. As these systems become embedded in routine public administration, agencies face rising expectations to sustain procedural fairness, accountability, and transparency throughout system development and long-term operation. Recent public-sector failures suggest that governance responsibilities are frequently fragmented across organ
Record details
Published: 4 August 2026
Source: AI & Society
Category: Research
Topics: Bias & fairness · Regulation · Transparency
Retrieved: 5 August 2026
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How to cite this record
ethics.ai (4 August 2026), “AIDLC–governance indicator framework: a lifecycle-based approach to institutional AI governance,” evidence record 16348, https://ethics.ai/record/16348 (originally published by AI & Society).
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