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Evidence record 9124 · automatically gathered

AI adoption and diffusion in public administration: A systematic literature review and future research agenda

Artificial Intelligence (AI) implementation in public administration is gaining momentum heralded by the hope of smart public services that are personalised, lean, and efficient. However, the use of AI in public administration is riddled with ethical tensions of fairness, transparency, privacy, and human rights. We call these AI tensions. The current literature lacks a contextual and processual understanding of AI adoption and diffusion in public administration to be able to explore such tension

Record details

Published: 12 October 2022
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Privacy · 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.

Shared topic: Bias & fairness · Shared topic: Privacy

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Shared topic: Bias & fairness · Shared topic: Privacy

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Shared topic: Bias & fairness · Shared topic: Privacy

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Shared topic: Bias & fairness · Shared topic: Privacy

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arXiv · 3 July 2026

Shared topic: Bias & fairness · Shared topic: Privacy

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives

arXiv fairness query · 8 July 2026

Shared topic: Bias & fairness · Shared topic: Privacy

Trustworthy Privacy-Preserving Multimodal Federated Learning for Personalised Breast Cancer Prediction

arXiv · 21 July 2026

How to cite this record

ethics.ai (12 October 2022), “AI adoption and diffusion in public administration: A systematic literature review and future research agenda,” evidence record 9124, https://ethics.ai/record/9124 (originally published by OpenAlex).

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