CAPABLE D7.2: AI Ethics and Incidental Findings Policy

20230 citationsreportgreen Open Access

Authors

Lucia Sacchi · University of Pavia

Barbara Bottalico · University of Pavia

Giordano Lanzola · University of Pavia

Silvia Panzarasa · University of Pavia

Enea Parimbelli · University of Pavia

Francesca Polce · University of Pavia

Silvana Quaglini ·

Abstract

The aim of this deliverable is to describe the approach that the CAPABLE consortium will have with respect to the ethical issues that might arise during the development and use of the CAPABLE AI-based clinical decision support system. In addition, the document also describes the policy related to incidental findings detection and management.

Topics & Keywords

Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

UN Sustainable Development Goals

Gender equality

Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.8318559

Field-Weighted Citation Impact: 0.00