Stephen Cave
Biographic Data
| ID | 4504800 |
|---|---|
| NAME | Stephen Cave |
| GIVEN NAMES | Stephen |
| FAMILY NAME | Cave |
| SIGNATURE | CAVÉ S |
| AFFILIATIONS | University of Cambridge |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 3 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Challenges of responsible AI in practice
Responsible AI (RAI) guidelines aim to ensure that AI systems respect democratic values. While a step in the right direction, they currently fail to impact practice. Our work discusses reasons for this lack of impact and clusters them into five areas: (1) the abstract nature of RAI guidelines, (2) the problem of selecting and reconciling values, (3) the difficulty of operationalising RAI success metrics, (4) the fragmentation of the AI pipeline, …
Feminist AI
Imagining AI
AI Narratives
The Role and Limits of Principles in AI Ethics
The last few years have seen a proliferation of principles for AI ethics. There is substantial overlap between different sets of principles, with widespread agreement that AI should be used for the common good, should not be used to harm people or undermine their rights, and should respect widely held values such as fairness, privacy, and autonomy. While articulating and agreeing on principles is important, it is only a starting point. Drawing on…
No prominent works on this page.
The Role and Limits of Principles in AI Ethics
The last few years have seen a proliferation of principles for AI ethics. There is substantial overlap between different sets of principles, with widespread agreement that AI should be used for the common good, should not be used to harm people or undermine their rights, and should respect widely held values such as fairness, privacy, and autonomy. While articulating and agreeing on principles is important, it is only a starting point. Drawing on…
AI Narratives
Feminist AI
Imagining AI
Challenges of responsible AI in practice
Responsible AI (RAI) guidelines aim to ensure that AI systems respect democratic values. While a step in the right direction, they currently fail to impact practice. Our work discusses reasons for this lack of impact and clusters them into five areas: (1) the abstract nature of RAI guidelines, (2) the problem of selecting and reconciling values, (3) the difficulty of operationalising RAI success metrics, (4) the fragmentation of the AI pipeline, …
Ethics and Social Impacts of AI (4 works) · Political science (4 works) · Sociology (4 works) · Computer Science (3 works) · Engineering (3 works) · Engineering ethics (3 works) · Law (3 works) · Neuroethics, Human Enhancement, Biomedical Innovations (3 works) · Art (2 works) · Literature (2 works)