The seven troubles with norm-compliant robots
Bibliographic Data
| ID | 21703304 |
|---|---|
| Authors | Tom N Coggins (Delft University of Technology), Steffen Steinert (0000-0001-8784-7607, Delft University of Technology, corresponding author) |
| Year | 2023 |
| Volume | 25 |
| Issue | 2 |
| Pages | 29-29 |
| Publication date | 2023-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Ethics and Information Technology (JOURNAL) |
| Journal identifiers | ISSN: 1388-1957 • E-ISSN: 1572-8439 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10676-023-09701-1 |
| PMID | 37123285 |
| OpenAlex | W4367053183 |
| Language | EN |
| Citations received | 2 |
| References cited | 62 |
Many researchers from robotics, machine ethics, and adjacent fields seem to assume that norms represent good behavior that social robots should learn to benefit their users and society. We would like to complicate this view and present seven key troubles with norm-compliant robots: (1) norm biases, (2) paternalism (3) tyrannies of the majority, (4) pluralistic ignorance, (5) paths of least resistance, (6) outdated norms, and (7) technologically-induced norm change. Because discussions of why norm-compliant robots can be problematic are noticeably absent from the robot and machine ethics literature, this paper fills an important research gap. We argue that it is critical for researchers to take these issues into account if they wish to make norm-compliant robots
Epistemology · Mathematical economics · Robot · Sociology · Computer Science · Ethics and Social Impacts of AI · Mathematics · Neuroethics, Human Enhancement, Biomedical Innovations · Philosophy · Reinforcement Learning in Robotics · Artificial Intelligence
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Norms
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |