People Should Have a Right Not to Be Subjected to AI Profiling Based on Publicly Available Data! A Reply to Holm
Bibliographic Data
| ID | 19563074 |
|---|---|
| Authors | Thomas Ploug (0000-0002-3693-0547, Aalborg University, corresponding author) |
| Year | 2023 |
| Volume | 36 |
| Issue | 3 |
| Publication date | 2023-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophy & Technology (JOURNAL) |
| Journal identifiers | ISSN: 2210-5433 • E-ISSN: 2210-5441 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13347-023-00652-5 |
| OpenAlex | W4384406267 |
| Language | EN |
| Citations received | 1 |
| References cited | 8 |
Studies suggest that machine learning models may accurately predict depression and other mental health-related conditions based on social media data. I have recently argued that individuals should have sui generis right not to be subjected to AI profiling based on publicly available data without their explicit informed consent. In a comment, Holm claims that there are scenarios in which individuals have a reason to prefer attempts of social control exercised on the basis of accurate AI predictions and that the suggested right burdens individuals unfairly by allowing for those individuals to consent to AI profiling. In this reply, I address both of these alleged problems and their underlying assumptions and show why they fail to provide any reasons not to introduce the suggested right
Data science · Epistemology · Operating system · Philosophy of science · Philosophy of technology · Artificial Intelligence in Healthcare and Education · Computer Science · Ethics and Social Impacts of AI · Philosophy · Psychology of Moral and Emotional Judgment
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |