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The main objective of the meeting is to transform the AIDV-WG’s deliverables into horizontal actions across data disciplines, sectors, and systems by exploring the means to engage digital communities in incorporating ELSI in data tools and systems for achieving the UN SDGs and real-world outcomes.
During this working meeting the five deliverables of the EOSC-Future/RDA Artificial Intelligence & Data Visitation Working Group (AIDV-WG) will be presented to the RDA community and invite their input into the horizontal actions needed across data disciplines, sectors, and systems for engaging digital communities in incorporating ethical, legal, and social implications (ELSI) in data tools and systems for achieving the United Nations’ 2030 Strategic Development Goals (SDGs) and other real-world outcomes. This is a working meeting that is focused on discussion with, and input from, the RDA community to advance the dissemination, uptake, and implementation of the outcomes of the AIDV-WG across RDA activities and in relation with RDA and EOSC actors.
The five AIDV-WG deliverables are as follows:
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Analysis and interpretation of the results of a survey on current ethical, legal, policy, and societal frameworks for AI
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Guidance on legal considerations for AI
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Guidance for informed consent in AI
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Guidance for ethics committees reviewing AI
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An AI Bill of Rights
This working meeting will be prepared by video presentations or other digital support created by each workstream for the deliverables in the AIDV-WG. The video presentations or other support will be made available to the participants at least 2 weeks in advance of the RDA Plenary 21. The working session has been designed to be highly interactive with the audience and inclusive. During the session only lightning talks will be given and the majority of time will be dedicated to discussing with and learning from the participants. The five five-minute lightning talks on the deliverables may be condensed into a single ten-minute talk to allow more time for discussion.
The AIDV-WG proposes this session to examine the dissemination and implementation phase of its work, having achieved its deliverables. This session will explore the AIDV-WG’s currently engaged work. It has studied, identified, and addressed through the five deliverables the ELSI needs within the data science and science communities for AI and data visitation in our digital societies. Further work is now needed to transform these ELSI outputs into concrete actions that engage digital communities in building data systems aligned with the UN SDGs. ELSI considerations for data and AI play a vital role in shaping responsible and ethical practices, protecting human rights, ensuring privacy and data protection, fostering inclusive governance, and assessing the impact of technologies. By integrating these considerations into data and AI tools and systems, the UN SDGs can be pursued in a manner that harnesses the potential of data and AI while upholding ethical principles and avoiding potential risks and negative social impacts. This approach promotes responsible data practices, a human-centered approach, ethical considerations (respect for persons and their fundamental freedoms, human rights, equity, inclusion, decolonization, research integrity), and social impact, ultimately contributing to sustainable development and positive outcomes.
This working session will engage relevant experts from inside and outside the RDA community, including researchers, policymakers, and practitioners to ensure diverse perspectives are included and a wide range of feedback to support the AIDV-WG’s work is received. Emphasis will be placed on the value of incorporating ethical, legal, and social considerations throughout the data lifecycle and data, tools, and AI interoperability systems to ensure responsible and sustainable data practices. This session should foster an understanding of how collaborations can be achieved across stakeholders from different data disciplines, sectors, and systems, involving inter-government and government agencies, academia, non-profit organizations, industry partners, citizen scientists, and digital communities.
The session will examine practical recommendations and feedback for ELSI best practices based on the AIDV-WG’s deliverables for data collection, storage, sharing, analysis, and decision-making. This contributes to the work of the AIDV-WG in ensuring that its deliverables are aligned with the SDGs and reflect the specific needs of different sectors and communities.The session will seek to receive advice on how to raise awareness and build capacity for the horizontal implementation of the AIDV-WG’s deliverables potentially through awareness campaigns, training programs, and capacity-building initiatives to educate digital communities about the importance of ELSI and their role in building data systems for SDG achievement. This includes the need to advocate for the integration of ELSI considerations into relevant policies, regulations, and guidelines at local, national, regional, and international levels. The session will help the AIDV-WG understand how it can collaborate with policymakers and advocate for responsible data governance frameworks that align with the SDGs as well as how the RDA community can support the implementation and enforcement of their deliverables into policies to ensure their impact.
The following agenda has been developed by the AIDV-WG. It will be further refined in order to identify the specific speakers based on the developing work.
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Agenda
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The session audience includes the RDA community across its disciplines and projects, international, national, and local organizations engaged in ELSI for data and AI; and participants in the International Data Week, including online experts, citizen scientists, and interested parties. In addition we provide a listing of the potential adopters for this horizontal approach as well as how the AIDV-WG deliverables will bring value and impact the adopters.
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Adopters |
Value/Impact |
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Scientists/Researchers |
To have access to and the ability to implement the ELSI data and AI deliverables appropriate to the needs of the data lifecycle and the research lifecycle in crisis situations |
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UN, international, and national agencies responsible for data and AI management and governance |
To have access to the ELSI data and AI deliverables supporting best practices in crisis management and governance. |
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Data Scientists & Data support professionals (e.g., data managers, data curators) |
To design and help implement the ELSI data and AI deliverables into their data management and data curation for use in crisis situations. |
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Open Science/Research/Data Commons professionals |
To develop open science features, functionalities, and interoperability incorporating the ELSI data and AI deliverables |
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Tool developers/ providers |
To assist data system, tool, and services providers in addressing their own ELSI needs by implementing the ELSI data and AI deliverables |
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Research performing organisations |
To make informed recommendations at the organisational policy level and to research data and computation departments on how to implement the ELSI data and AI deliverables |
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Publishers and editors |
To assist publishers, editors, and scientists in the implementation of the the ELSI data and AI deliverables into their publication and review policies |
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Media: mass media and social media |
To ensure that the the ELSI data and AI deliverables contribute to accurate and reliable data in mass and social media, helping to combat misinformation and disinformation, while also contributing to the fight against censorship and the need to provide the public and citizens with as complete and accurate information as is available, including the recognition of its limitations |
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Funders |
To assist funders who support data science and science generally to understand the need to implement ELSI in data and AI funding |
The EOSC-Future & RDA Artificial Intelligence and Data Visitation Working Group (AIDV-WG) began work in September 2022 with the aim of addressing 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 was 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.
Both AI and DV open a myriad of ethical, legal, and social issues, often having their root in data collection, data processing, the FAIRification and curation of data, data interoperability as well as in the data archiving, data commons, and open science platforms. These ethical, legal, and social issues, however, take on new meaning when new technologies and new modes of interaction and conduct are developed for data processing, data and data tool interoperability, and data exchange. These challenges include those of access, privacy, confidentiality, consent, accountability, transparency, accuracy, integrity, and explainability. They also include issues of human rights, respect, equity, inclusion, and decolonization. The AIDV-WG has focused on the ELSI issues of these technologies in the context of Open Science. It further examined the impact of these technologies on society and science policy. As European and global scientific governance moves at an accelerated pace to reform science through Open Science, particularly in its attempt to address, situation, and govern AI, it is critical that we appreciate the complexities of the ethical, legal, technical, and societal issues affecting data and AI within the framework of Open Science and its goals for the future of science in our communities and globally. The AIDV-WG built an expert cross-disciplinary network that includes expertise in AI, data science, data interoperability, data systems, and data stewardship as well as involving researchers focused on the ethical, legal, and social questions and challenges that surround these technologies. This includes AI designers and developers so that technical aspects of these technologies represented in the work are considered.
The AIDV-WG work has focused on 1.developing an understanding of the ethical, legal, and societal challenges presented by AI and DV to the work done in other RDA activities, in open science, and in data commons and systems platforms across disciplines and sectors; 2. contributing to clarity in, and the development of, the ethics, legal, and social understandings and frameworks to facilitate user engagement in open science and out digital societies; and 3. provide a European and global platform for engaging ethics, law, and social considerations in AI, data sharing, DV, data and data tools interoperability, and open science policy and governance development.
The AIDV-WG has created the following deliverable that will be presented and opened to discussion and implementation at the working session: 1. A survey on current ethical, legal, policy, and societal frameworks for AI; 2. Guidance on legal considerations for AI; 3. Guidance for informed consent in AI; 4. Guidance for ethics committees reviewing AI; and 5. An AI Bill of Rights.
The project’s deliverables have been developed to support a broad understanding and implementation of the underlying values of RDA and EOSC. These deliverables are designed for use to develop capacity, particularly regarding competence building across skill sets, disciplines, sectors, and systems while also contributing to training programmes, in the EU and globally. Through its inclusive and open design, the AIDV-WG’s has delivered outputs for implementation by EOSC as well as other national and international open research commons initiatives. Our working methods have been based on co-creation and cultivation, openness, listening, and question and knowledge sharing and promoting the following principles throughout our work: Equity - Inclusion - Respect - Decolonisation - Trust - Shared Vision - Leadership - Open Communication - Democratic Engagement - Clear Roles - Goal Driven - Growth/Vibrancy - Standards and Processes - Discovery Enabling - Resourcefulness.
Please refer to the Shared AIDV-WG Literature Update, created and maintained by Natalie Meyers, This link will help to ensure that the working session participants have access to the past and most recent updates on AI and DV, particularly in the context of ELSI, the SDGs, and other important data and AI societal and governance concerns.
Refer in addition to AIDV-WG’s Zotero list of most relevant references (currently at 455 references). This has also been created and is maintained by Natalie Meyers.
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