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Revision as of 17:46, 7 May 2024
EOSC-Future/RDA AIDV
Vision The vision of the AIDV-WG is to bring together expertise across disciplines and regions to ensure ameliorate the use of AI and DV in research and innovation across technologies and sectors to address the grand challenges of society.
Objectives The principal objective of AIDV-WG is to examine the promises, challenges, and barriers to the use of AI in data sharing and Open Science having regard to scientists and research institutions as well as to policy and the interests of patients, communities, health advocates, and those stakeholders otherwise underrepresented in these important initiatives for Open Science.
Working to support the EOSC Future project and facilitate the implementation of EOSC across research communities, this AIDV-WG examines interoperability issues arising across federated and non-federated systems. Particular attention is given to national and institutional policies (ethics/legal) and how they affect the generation of metadata and interdisciplinary work and cooperation.
The following work packages are being pursued by AIDV subteams:
- A survey on current ethical, legal, policy, and societal frameworks for AI and DV
- Guidance on legal considerations for AI and DV: a mapping of legal considerations forAI and DV as well as how to navigate legal frameworks for users of EOSC and other Open Science platforms.
- Guidance for informed consent in AI and DV: The GDPR and other EU data and AI regulations as well as regulations in other jurisdictions have placed heavy emphasis on the role of informed consent in data sharing and data publication. This subteam examines the role of informed consent in AI and DV, addressing fundamental challenges to current informed consent frameworks and practices. The aim is to provide guidance for researchers and data controllers across disciplines regarding informed consent in AI and DV.
- Guidance for ethics committees reviewing AI and DV: Ethics committees (RECs/IRBs/IECs) have been confronted by new challenges when encountering the need for advice on data management and data sharing as well as in other areas of data processing. The use of AI and DV, especially in health-related research, requires investigation with regard to the ethical, legal, and social issues these raise for ethics committees and those submitting proposals for advice/approval to ethics committees. This subteam's guidance will assist ethics committees in understanding questions, methods, and procedures for reviewing AI and DV.
- AI Bill of Rights: Underlying the growing application and use of AI and DV is a concern to ensure that data subjects are protected by these new technologies. The AIDV-WG subteam is drafting an RDA AI Bill of Rights that promotes fundamental human rights Recommendations Communique that advances trust in AI and federated systems for Open Science.
