AIDLC–governance indicator framework
A lifecycle-based approach to institutional AI governance
Datos Bibliográficos
| ID | 24020596 |
|---|---|
| Autores | Chin-Pei He (0009-0004-8913-9179, National Taipei University of Nursing and Health Science), Yu-ru PAN (National Taipei University of Nursing and Health Science), Kuo‐Chung Chu (0000-0001-5390-516X, National Taipei University of Nursing and Health Science, autor de correspondencia), Kuo-Chung Chu |
| Año | 2026 |
| Fecha de publicación | 2026-08-04 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | AI & Society (JOURNAL) |
| Identificadores de la revista | ISSN: 0951-5666 • E-ISSN: 1435-5655 |
| Editorial | Springer Nature (PUBLISHER • SG) |
| DOI | 10.1007/s00146-026-03173-9 |
| OpenAlex | W7172431436 |
| Idioma | EN |
| Referencias citadas | 52 |
Accountability · Audit · Conceptual framework · Corporate governance · Good governance · Information governance · Project governance · Transparency (behavior) · Work (physics) · COVID-19 Digital Contact Tracing · E-Government and Public Services · Ethics and Social Impacts of AI
Global Risk Governance
A Unified Framework of Five Principles for AI in Society
Strategic opportunities (and challenges) of algorithmic decision-making
Artificial Intelligence and the Public Sector—Applications and Challenges
A Layered Model for AI Governance
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Governing artificial intelligence
An integrated artificial intelligence framework for public management
Closing the AI accountability gap
Analysing and Assessing Accountability
Ethics-Based Auditing of Automated Decision-Making Systems
AI governance in the public sector
AI for the public. How public interest theory shifts the discourse on AI
Democratizing AI in public administration
Change management
Artificial intelligence in local governments
The Threat of Algocracy
Legitimacy of Algorithmic Decision-Making
Governing AI Decision‐Making
Seeing without knowing
Policy analytical capacity
Policy capacity
From What to How
Data governance
Mapping the challenges of Artificial Intelligence in the public sector
Electronic government
Outsourcing, bureaucracy and public value
Artificial intelligence governance
Algorithmic regulation
Linking Citizen Satisfaction with E-Government and Trust in Government
Human–AI Interactions in Public Sector Decision Making
New Public Management Is Dead--Long Live Digital-Era Governance
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |