Generative Artificial Intelligence as Hypercommons
Ethics of Authorship and Ownership
Datos Bibliográficos
| ID | 21465055 |
|---|---|
| Autores | G Islam (0000-0002-6503-6018, Grenoble Ecole de Management), Michelle Greenwood (0000-0003-3086-6764, Dandenong Hospital, autor de correspondencia) |
| Año | 2024 |
| Volumen | 192 |
| Número | 4 |
| Páginas | 659-663 |
| Fecha de publicación | 2024-07-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Journal of Business Ethics (JOURNAL) |
| Identificadores de la revista | ISSN: 0167-4544 • E-ISSN: 1573-0697 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10551-024-05741-9 |
| OpenAlex | W4400241831 |
| Idioma | EN |
| Citas recibidas | 5 |
| Referencias citadas | 8 |
In this editorial essay, we argue that Generative Artificial Intelligence programs (GenAI) draw on what we term a “hypercommons”, involving collectively produced inputs and labour that are largely invisible or untraceable. We argue that automatizing the exploitation of common inputs, in ways that remix and reconfigure them, can lead to a crisis of academic authorship in which the moral agency involved in scholarly production is increasingly eroded. We discuss the relationship between the hypercommons and authorship in terms of moral agency and the ethics of academic production, speculating on different responses to the crisis of authorship as posed by GenAI
Business ethics · Generative grammar · Political science · Quality of Life Research · Sociology · Artificial Intelligence in Healthcare and Education · Computer Science · Ethics and Social Impacts of AI · Law · Law, AI, and Intellectual Property · Artificial Intelligence
| Obras citantes distintas | 5 |
|---|---|
| Citas por año | 5 |
| Intervalo de citas | 2025 - 2026 (2) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 4 |