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Initiative
Projects that support research ethics and integrity.
BEYOND is a Horizon Europe project dedicated to exploring the root causes of research misconduct, developing effective methodologies for impactful training, and creating and enhancing training materials.
This project contributes to Europe's ongoing efforts to cultivate a research culture that upholds the highest standards of ethics and integrity, thereby fostering public trust in science.
Please have a look at the project's deliverable here.ERIP brings European and global stakeholders together in an open dialogue among researchers, policymakers, funding agencies, and other actors to further the development and implementation of ethical research assessment policies for data and AI.
ERIP improves innovation in research evaluation policy and its implementation across universities and other research institutions regarding the engagement with data and AI methods and tools in scientific research. ERIP engages the cutting edge of transformative technologies and their impact on practices in scientific research, its contributions and communication.Mission: The mission of the AIDV 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.
Vision: The vision of the AIDV 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 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 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 for AI 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 regarding 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.