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Project

vALID

Artificial-Intelligence-Driven Decision-Making in the Clinic: Ethical, Legal and Societal Challenges

  • Duration:

AI is on everyone’s lips. Applications of AI are becoming increasingly relevant in the field of clinical decision-making. While many of the conceivable use cases of clinical AI still lay in the future, others have already begun to shape practice. The project vALID provides a normative, legal, and technical analysis of how AI-driven clinical Decisions Support Systems could be aligned with the ideal of clinician and patient sovereignty. It examines how concepts of trustworthiness, transparency, agency, and responsibility are affected and shifted by clinical AI—both on a theoretical level, and with regards to concrete moral and legal consequences. This analysis is grounded in an empirical case study which deploys mock-up simulations of AI-driven clinical Decision Support Systems and systematically gathers clinician and patient attitudes on a variety of designs and implementations. One key output of vALID will be a governance perspective on human-centric AI-driven Decision Support Systems in the context of shared clinical decision-making.

Sponsors

BMBF - Federal Ministry of Education and Research

01GP1903C

BMBF - Federal Ministry of Education and Research

Publications about the project

Iyadh Ben Cheikh Larbi; Aljoscha Burchardt; Roland Roller

In: Elisa Bassignana; Matthias Lindemann; Alban Petit (Hrsg.). EACL 2023 - Proceedings of the Student Research Workshop. Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (EACL-2023), May 2-4, Pages 105-111, ISBN 978-1-959429-48-7, ACL, 5/2023.

To the publication

Roland Roller; Aljoscha Burchardt; David Samhammer; Simon Ronicke; Wiebke Duettmann; Sven Schmeier; Sebastian Möller; Peter Dabrock; Klemens Budde; Manuel Mayrdorfer; Bilgin Osmanodja

In: PLOS ONE (PLOS), Vol. 18, No. 4, Pages 1-17, Public Library of Science, 4/2023.

To the publication

David Samhammer; Susanne Beck; Klemens Budde; Aljoscha Burchardt; Michelle Faber; Simon Gerndt; Sebastian Möller; Bilgin Osmanodja; Roland Roller; Peter Dabrock

In: David Samhammer; Susanne Beck; Klemens Budde; Aljoscha Burchardt; Michelle Faber; Simon Gerndt; Sebastian Möller; Bilgin Osmanodja; Roland Roller; Peter Dabrock. Klinische Entscheidungsfindung mit Künstlicher Intelligenz: Ein interdisziplinärer Governance-Ansatz. Pages 1-71, Springer, 2023.

To the publication