Machine Capacity of Judgment
An interdisciplinary approach for making machine intelligence transparent to end-users
Bibliographic Data
| ID | 11240135 |
|---|---|
| Authors | Aurelia Tamò‐larrieux (0000-0003-3404-7643, Maastricht University, corresponding author), Andrei Ciortea (0000-0003-0721-4135, University of St.Gallen), Simon Mayer (0000-0001-6367-3454, University of St.Gallen) |
| Year | 2022 |
| Volume | 71 |
| Pages | 102088 |
| Publication date | 2022-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2022.102088 |
| OpenAlex | W4292236744 |
| Language | EN |
| References cited | 16 |
Autonomy · Categorization · Political science · Surprise · Computer Science · Ethics and Social Impacts of AI · Free Will and Agency · Law · Law, Economics, and Judicial Systems · Psychology · Social Psychology · Artificial Intelligence
Intention, Plans, and Practical Reason
Artificial moral and legal personhood
Legislating personhood
Is AI intelligent? An assessment of artificial intelligence, 70 years after Turing
Trust as indicator of robot functional and social acceptance. An experimental study on user conformation to iCub answers
Situating methods in the magic of Big Data and AI
| Highly cited | No |
|---|