AI ethics
From principles to practice
Bibliographic Data
| ID | 20397386 |
|---|---|
| Authors | Jianlong Zhou (0000-0001-6034-644X, University of Technology Sydney, corresponding author), Fang Chen (0000-0002-5216-1522, University of Technology Sydney) |
| Year | 2023 |
| Volume | 38 |
| Issue | 6 |
| Pages | 2693-2703 |
| Publication date | 2023-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | AI & Society (JOURNAL) |
| Journal identifiers | ISSN: 0951-5666 • E-ISSN: 1435-5655 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00146-022-01602-z |
| OpenAlex | W4309941119 |
| Language | EN |
| Citations received | 12 |
| References cited | 23 |
Applied ethics · Engineering ethics · Ethics of technology · Implementation · Information ethics · Meta-ethics · Sociology · Adversarial Robustness in Machine Learning · Computer Science · Engineering · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI
Coping with vulnerability
Global labor policy and artificial intelligence
An infographic framework of GeoAI ethics based on news data
Developing a Typology of Roles for STEM-Trained Professionals in AI Policy Engagement
The representation problem in AI ethics
AI ethics
Social and Ethical Challenges in Future 6G Networks
A systemic perspective on bridging the principles-to-practice gap in creating ethical artificial intelligence solutions – a critique of dominant narratives and proposal for a collaborative way forward
Decoding AI ethics
Artificial intelligence governance
Seven barriers to the ethical governance of artificial intelligence in defence
A university framework for the responsible use of generative AI in research
A Unified Framework of Five Principles for AI in Society
How AI can be a force for good
The global landscape of AI ethics guidelines
Ethical principles in machine learning and artificial intelligence
Operationalising AI ethics
AI ethics
Machine Learning for Public Administration Research, With Application to Organizational Reputation
| Citations per year | 4 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |