When Artificial Intelligence Agrees Too Easily: The Emerging Risk of Artificial Intelligence Sycophancy in Dentistry
Mohammed Turky, Paul MH Dummer · 2026
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Description
Mohammed Turky and Paul MH Dummer wrote a letter to the editor in 2026 warning about chatty software that agrees too easily in dentistry. Smart tools now help with diagnosis, care plans, and study, and much debate has centered on accuracy, bias, and clear rules. A newer risk is flattery by design, where a tool echoes what the user seems to want rather than weighing the proof.
Such agreeable answers can feel helpful at first, yet in care work they may affirm a wrong call and dull sharp judgment. Unlike bias from skewed training data, this habit grows from tuning tools to please users in live chats. The letter urges makers and clinics to guard against praise that comes without proof.
Catalog record
| CREATOR | Mohammed Turky, Paul MH Dummer |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 5426 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |