Artificial Intelligence and Data Visitation (AIDV) WG rev-002

Revised Case Statement following TAB review

Original Case Statement which underwent community review

Overview

The EOSC-Future & RDA Artificial Intelligence and Data Visitation Working Group (AIDV-WG) will address ethical, legal, and social challenges of Artificial Intelligence (AI) and Data Visitation (DV) affecting of state-of-the art data technology impacting scientific exchange in the context of data sharing and the European Open Science Cloud (EOSC). The AIDV-WG has been established through a competitive call for proposals for RDA Working Groups focusing on the development of solutions for the European Open Science Cloud (EOSC), working in conjunction with the European Commission-funded project EOSC Future.

The AIDV-WG will build an expert cross-disciplinary network that includes expertise in AI, data science, data stewardship as well as involving researchers focused on the ethical, legal, and social questions and challenges that surround these technologies.  There is a special interest to include AI designers and developers so that technical aspects of these technologies represented in the work will be strengthened. To embrace diverse perspectives, experts are drawn from across geographical regions. The AIDV-WG will also include experts from ongoing EU and international projects in AI and DV, as well as experts in building technical platforms and enterprises employing either AI or DV, particularly those associated with EOSC or other Open Science platforms. We will consider the need for an EOSC Exchange that enables data transfer, research data as a service, and understands the current research software that would enable or contribute to such an EOSC Exchange.  The focus is on building a multidisciplinary understanding of the ethical, legal, and social issues in relation to systems technologies and system users. We will identify the problems and build our ethical, legal, and social guidance on responses that support the future of the EOSC.

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.

Mission

The mission of the AIDV-WG is to contribute to building the ethical, legal, social, and technical frameworks and bridges enabling the open sharing and re-use of data in the framework of Open Science.

Description of Work

The AIDV-WG will facilitate the development of tools, policy, and practices that promote EOSC Services (PIDs for EOSC, EOSC Marketplace, PID policies and compliance, AAI), ESOC Exchange (data transfer, research data as a service), and the EOSC Interoperability Framework (EOSC Interoperability Framework, ways of implementing the interoperability framework).        

The AIDV-WG will also consider the need for training and capacity-building in how the guidances can be used and implemented.

The AIDV-WG will promote and include the following principles:

The FAIR Data Principles: Findable, Accessible, Interoperable, and Reusable

The TRUST Principles for Data Repositories: Transparency, Responsibility, User focus, Sustainability and Technology

The CARE Principles for Indigenous Data Governance: Collective Benefit, Authority to Control, Responsibility, and Ethics.

The RDA Guiding Principles: Openness, Consensus, Inclusive, Harmonization, Community-driven, Non-profit and technology-neutral.

The RDA Code of Conduct

The AIDV-WG will strive to facilitate data interoperability nationally and internationally in ways that support the Sustainable Development Goals (SDGs) across their 17 global goals and associated 169 targets.

Working to support the EOSC Future project and facilitate the implementation of EOSC across research communities, this AIDV-WG will examine interoperability issues arising across federated and non-federated systems. Particular attention will be given to national and institutional policies (ethics/legal) and how they affect the generation of metadata and interdisciplinary work and cooperation. Of importance will be to examine the ethical, legal, and social issues arising in EOSC Science clusters with their inter- and cross-disciplinary questions.

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. The intention is to further develop the objectives of EOSC Future and RDA within the EU and global contexts in these important and related areas with ethicists, legal experts, scientific and research institutions, as well as with patients, communities, health advocates, and those instances otherwise underrepresented in these important initiatives for Open Science.

The following specific objectives will be pursued by the AIDV-WG:

1. Developing an understanding of the ethical and legal challenges AI and DV in Open Science across user groups.
2. Contribute to clarity in, and the development of, the ethics and legal frameworks to facilitate user engagement in Open Science.
3. Provide a European and global platform for engaging ethics, law, and social considerations in AI, data sharing, DV, and Open Science policy development.

Please see the full Case Statement, Version 5, attached for Deliverables, Methods, Organisation and Activities, Background and Founding Members, Membership, Engagement with EOSC-Future, the RDA Community & Other and Timeline.

Case20Statement20EOSC-Future2020RDA20AIDV-WG2022-08-26_5.0.pdf

Case20Statement20EOSC-Future202620RDA20AIDV-WG2022-07-05_3.0_0.pdf