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| Published in: | JMIR Mental Health |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1867301678121746432 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | JMIR Mental Health |
| description | |
| discipline_display | Psychiatry and Neurology |
| discipline_facet | Psychiatry and Neurology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:59153 |
| institution | FRELIP |
| journal_source_facet | JMIR Mental Health |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion Psychiatry and Neurology General Psychiatry and Neurology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Psychiatry and Neurology General Psychiatry and Neurology Psychiatry and Neurology General Psychiatry and Neurology |
| subject_facet | Psychiatry and Neurology General Psychiatry and Neurology |
| title | When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion |
| title_auth | When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion |
| title_full | When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion |
| title_fullStr | When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion |
| title_full_unstemmed | When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion |
| title_short | When AI Colludes: Clinical Reliability of Training and Preference Data as a Trustworthy-AI Criterion |
| title_sort | when ai colludes: clinical reliability of training and preference data as a trustworthy-ai criterion |
| topic | Psychiatry and Neurology General Psychiatry and Neurology |
| url | https://mental.jmir.org/2026/1/e96894 |