Table 3.
Views on ethical development and regulations for AI
| Suggests which measures to should be employed to ensure the ethical development and use of artificial intelligence in medical practice* n, (%) | |
| Ethical audits | 111 (75.5%) |
| Artificial intelligence education | 105 (71.4%) |
| Legal regulations | 105 (71.4%) |
| Obtaining patient consents | 91 (61.9%) |
| Establishing working groups/commissions | 75 (51.0%) |
| Others** | 2 (1.5%) |
| Thinks legal regulations for artificial intelligence applications are satisfactory, n (%) | |
| No | 117 (79.6%) |
| Yes | 3 (2.0%) |
| Unsure | 27 (18.4%) |
| Thinks to whom the responsibility of a medical error in supported by artificial intelligence*, n (%) | |
| Software developer | 100 (68.0%) |
| Physician | 90 (61.2%) |
| Health institution | 57 (38.8%) |
| Patients and relatives (if informed consent applied) | 43 (29.3%) |
| Artificial intelligence instructor | 35 (23.8%) |
| Thinks what steps should be taken to close the legal gaps related to artificial intelligence in medical practice* n, (%) | |
| Establishing national and international standards | 121 (82.3%) |
| Enacting new laws | 87 (59.2%) |
| Establishing institutions for artificial intelligence oversight | 79 (53.7%) |
| Making informed consent mandatory for artificial intelligence use | 78 (53.1%) |
| Updating existing laws | 65 (44.2%) |
*Percentages shown for total participant counts
**Others were thinking the ethical concerns are the major barriers to developments in artificial intelligence and clinical trials