SORS: best practices for trustworthy and ethical AI in biomedicine
Year: 2025
Type: conference-paper
Abstract: Despite significant advances in artificial intelligence (AI) for healthcare, its applicability remains hindered by significant challenges in real-world practice. These include limited trust and ethical risks, such as generalisability issues, biases, lack of transparency, potential errors, and safety concerns. To encourage the acceptance and adoption of new AI tools, it is crucial to establish best practices that ensure the development of trustworthy and ethical AI tools for healthcare practice. This talk will introduce FUTURE-AI, a code of practice developed by an international consortium of 117 experts from 50 countries to promote AI tools that earn the trust and acceptance of patients, clinicians, health organisations, and regulatory authorities. The FUTURE-AI guideline advocates for Fair, Universal, Traceable, Usable, Robust, and Explainable AI solutions. It provides step-by-step guidance with actionable recommendations that span the entire AI production lifecycle, from design and development to validation and deployment. The talk will include practical examples from diverse fields such as oncology, cardiology, and women’s health to demonstrate the guideline’s promise in various healthcare contexts.
Author: Lekadir, Karim
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7128126781