The representation problem in AI ethics
Bibliographic Data
| ID | 20398200 |
|---|---|
| Authors | Bin Ye (0000-0003-1186-7980, Sun Yat-sen University, corresponding author) |
| Year | 2026 |
| Volume | 41 |
| Issue | 3 |
| Pages | 2443-2450 |
| Publication date | 2026-03-01 |
| Peer Reviewed | Yes |
| 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/s00146-025-02538-w |
| OpenAlex | W4412829585 |
| Language | EN |
| References cited | 35 |
Art · Performing arts · Political science · Politics · Visual arts · Computer Science · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI · Law · Psychology of Moral and Emotional Judgment · Artificial Intelligence
Technology and the Lifeworld
The Ethics of Information
Artificial intelligence
Principles alone cannot guarantee ethical AI
The Role and Limits of Principles in AI Ethics
How AI can be a force for good
The Ethics of AI Ethics
Explainable Artificial Intelligence (XAI)
XAI—Explainable artificial intelligence
ChatGPT
Intelligence without representation
The global landscape of AI ethics guidelines
Some critical and ethical perspectives on the empirical turn of AI interpretability
Privacy preserving or trapping
AI ethics
Translating Principles into Practices of Digital Ethics
Why AI Ethics Is a Critical Theory
The Ethics of AI Ethics. A Constructive Critique
A Virtue-Based Framework to Support Putting AI Ethics into Practice
From What to How
Managing the tension between opposing effects of explainability of artificial intelligence
The tragedy of the AI commons
| Citation velocity | historical |
|---|---|
| Highly cited | No |