Shame in the machine
Affective accountability and the ethics of AI
Bibliographic Data
| ID | 20397148 |
|---|---|
| Authors | Rachel McNealis (0009-0001-4927-1018, Marquette University, corresponding author) |
| Year | 2026 |
| Volume | 41 |
| Issue | 1 |
| Pages | 403-413 |
| Publication date | 2026-01-01 |
| 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/s00146-025-02472-x |
| OpenAlex | W4412056099 |
| Language | EN |
| References cited | 27 |
Accountability · Art · Cognitive science · Performing arts · Political science · Shame · Visual arts · Adversarial Robustness in Machine Learning · Computer Science · Ethics and Social Impacts of AI · Law · Psychology · Psychology of Moral and Emotional Judgment · Social Psychology
Behind the Screen
Technology and the Virtues
The Cultural Politics of Emotion
Taxonomy of Risks posed by Language Models
Energy and Policy Considerations for Deep Learning in NLP
Chatting and cheating
Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability
The impact of generative AI on academic integrity of authentic assessments within a higher education context
Decolonial AI
The Race for Theory
Impact of misinformation from generative AI on user information processing
On pipelines, readiness and annotative labour
Publics and Counterpublics
| Highly cited | No |
|---|