Name
Abstract | ||
|---|---|---|
Collaborative artificial intelligence systems (CAISs) aim to work with humans in a shared space to achieve a common goal, but this can pose hazards that could harm human beings. We identify emerging problems in this context and report our vision of and progress toward a risk-driven assurance process for CAISs. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/MC.2021.3131990 | Computer |
Keywords | DocType | Volume |
Collaboration,Hazards,Artificial intelligence | Journal | 55 |
Issue | ISSN | Citations |
3 | 0018-9162 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jubril Gbolahan Adigun | 1 | 0 | 0.34 |
| Carlo Bellettini | 2 | 126 | 16.61 |
| Michael Felderer | 3 | 0 | 1.01 |
| Andrea Giusti | 4 | 0 | 0.34 |
| Dominik T. Matt | 5 | 0 | 0.34 |
| Anna Perini | 6 | 1165 | 83.51 |
| Barbara Russo | 7 | 252 | 25.76 |
| Angelo Susi | 8 | 0 | 0.34 |