Project description
Evaluating AI-based systems in biomedical applications
The lack of consensus on standardised approaches for the responsible implementation of Artificial Intelligence (AI) has led Europe to prioritise AI regulation, particularly in high-impact societal areas such as biomedicine and healthcare. Supported by the Marie Skłodowska-Curie Actions programme, the AHEAD project aims to build a global community of experts in biomedicine, ethics, AI development, software engineering, sociology, psychology, law, gender studies, and other relevant fields. Together, they will develop and implement guidelines for evaluating AI-based systems in biomedical and healthcare applications. The project will also expand OpenEBench to facilitate these assessments and establish an observatory to gather existing policies and best practices. The ultimate goal is to promote responsible AI innovation and ensure improved healthcare for all.
Objective
The proliferation of Artificial Intelligence (AI) is on the rise, and yet, there remains a lack of consensus on standardised approaches for responsible implementation. In Europe, there is a strong push to regulate AI, particularly in high-impact societal applications such as biomedicine and healthcare. The objective of AHEAD is to create a transdisciplinary, diverse and global community drawing on the expertise of professionals in biomedicine, ethics, AI development, software engineering, sociology, psychology, law, gender studies, and relevant stakeholders, dedicated to the ongoing effort of tackling challenges and setting important standards in an ever-changing landscape. Together, the community will gather, consolidate, and put into practice established principles and guidelines, building a methodology and a platform to evaluate AI-based systems for biomedical and healthcare applications to ensure the compliance with legal, ethical, technical, scientific, and regulatory standards. The project will extend the fucntionalities of OpenEBench, ELIXIR’s benchmarking platform for bioinformatics tools, to provide a platform for these assessments. The community will also establish an observatory to collect and curate existing guidelines, best practices, and principles for AI assessment in biomedicine and healthcare across multiple disciplines (technical, societal, legal, etc.). AHEAD will encourage responsible AI innovation through constant collaboration and knowledge exchanges, to continuously meet the demands of the fast-changing AI landscape and ensure that quality healthcare for all people is never compromised and only enhanced. The proposed project is the beginning of a sustained endeavour that would greatly benefit from mobility grants to enhance community bonds and foster collaborative efforts toward this goal.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesartificial intelligence
- social sciencessociologygender studies
- social sciencessociologyanthropologyscience and technology studies
- medical and health scienceshealth sciencespersonalized medicine
- social scienceslaw
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Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff ExchangesCoordinator
08034 Barcelona
Spain