SOURCE-LINKED INTELLIGENCE

AI for Health: Evaluation of Applications & Datasets

CORDIS · observation · Publication date unknown

AI for Health: Evaluation of Applications & Datasets 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 com

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recordType

award

status

SIGNED

region

EU

value

496800

unit

EUR