IADR Abstract Archives

Ethical Challenges of Artificial Intelligence for Smile Design

Objectives: Purpose. Dental softwares are increasingly usin Artificial intelligence (AI) for smile design. However, using AI raises numerous technical and ethical concerns that are currently not discussed. This study aims to identify and evaluate these ethical issues.
Methods: Methods. An international consortium of dental experts specialized in AI was engaged to formulate ethical challenges raised by the use AI for smile design. An e-Delphi protocol was secondly used to obtain an agreement of the ITU-WHO group on key ethical principles related to the use of AI (Wellness, Respect for autonomy, Privacy protection, Solidarity, Governance, Equity, Diversity, Expertise/prudence, Accountability/responsibility, Sustainability, and Transparency). Each principle included examples of ethical challenges that patients and practioners could encounter when using AI for smile design.
Results: Results. On the first round of the e-DELPHI, 28 participants agreed that seven items should be considered in smile design (diversity, transparency, wellness, privacy protection, prudence, law and governance, and sustainable development), but the remaining four items (equity, accountability and responsibility, solidarity, and respect of autonomy) were rejected and had to be reformulated and resubmitted. After this second round, participants agreed to all items.
Conclusions: Conclusions. This work first emulated and proposed possible AI Ethics challenges when practitioners and patients use AI for smile design. Following a Delphi protocol, 11 items were emulated, and agreement was obtained. This work paves the way to further development of AI softwares and still open the discussion of how we can act for more trustworthy AI in dentistry.

2024 Continental European and Scandinavian Divisions Meeting (Geneva, Switzerland)
Geneva, Switzerland
2024
0122
Digital Dentistry Research Network
  • Rokhshad, Rata  ( Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health , Berlin , Germany )
  • Karteva, Teodora  ( Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health , Berlin , Germany )
  • Chaurasia, Akhilanand  ( Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health , Berlin , Germany ;  Department of Oral Medicine and Radiology, Faculty of Dental Science, King George's Medical University , Lucknow , India )
  • Richert, Raphael  ( Faculté d’Odontologie, Université de Lyon , Lyon , France )
  • Morch, Carl-maria  ( FARI – AI for the Common Good Institute, Université Libre de Bruxelles , Bruxelles , Belgium )
  • Tamimi, Faleh  ( College of Dental Medicine, QU Health, Qatar University , Doha , Qatar )
  • Ducret, Maxime  ( Faculté d’Odontologie, Université de Lyon , Lyon , France )
  • NONE
    Oral Session
    Oral 4 - Digital Dentistry Research Network
    Thursday, 09/12/2024 , 10:30AM - 12:30PM