The AI Bill of Rights team goal is to present recommendations to the EOSC Community and Research Data Alliance on the needs for AI Governance/AI Bill of Rights in various jurisdictional, disciplinary and research scenarios taking into account the potential rights of data creators, model developers, model and data re-users, and citizens/communities/patients whose lives/privacy/wellbeing are impacted by AI and data sharing modalities.

Our team looks at how AI governance should shape what data is gathered and used in AI systems, what the rights of individual persons are inside this data, and how communities adopt and adapt to AI driven forms of decision making and creativity where ecological flourishing and human wellbeing are prioritized at the outset and throughout all design of any AI system as key metrics of societal and global prosperity and progress.

It is our aim  to inform an understanding of Inclusive AI Governance for EOSC constituencies and the RDA membership, as well as to encourage Civil Society Participation in Standards Development in AI  to move beyond risk models in isolation and to help shepherd AI systems governance that will ensure a flourishing future for all.

 This recommendation contributes to UN SDG 3, especially 3.8 (Achieve universal health coverage, including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines and vaccines for all) insofar as AI Governance and use of AI in clinical medicine and clinical trials research become more ubiquitous components of medical research and practice. This recommendation also aligns with  SDG 9 (Industry, Innovation and Infrastructure), 4 (Quality Education), 10 (Reduced Inequalities), 16 (Peace, Justice and Strong Institution) and 17 (Partnerships for the Goal).

Broader Working Group: Artificial Intelligence Data Visitation Working Group (AIDV WG)

We’d like to thank Gnana Bharathy, Gauthier Chassang, John C. Havens, Mary Uhlmansiek and Ryan O’Connor for their contributions to this content.

This work was developed by the EOSC-Future & RDA Artificial Intelligence and Data Visitation Working Group (AIDV-WG) with funding received from the European Commission under the Horizon2020 Programme with Grant Agreement Number 101017536 through the European Open Science Cloud – Future Project (EOSC-Future). The project was designed and coordinated by Francis P. Crawley as Principal Investigator with the Good Clinical Practice Alliance – Europe (GCPA). The AIDV-WG enjoys further support from the RDA TIGER programme funded under the Horizon Europe Grant agreement ID: 101094406

Metadata information:

– Keywords: Artificial Intelligence (AI), AIDV, Ai Governance, Risk Management Responsible AI, RAI, Ethics, Law, Policy,

– Publication date: 19 Aug 2024