The main objective of this working meeting is to discuss the contributions and ongoing relevance of the deliverables of the EOSC-Future/RDA Artificial Intelligence (AI) & Data Visitation (DV) Working Group (AIDV-WG) in relation to the rapidly evolving global regulatory AI landscape.

The AIDV-WG has achieved four deliverables that contribute to a global perspective on AI governance:
– AI Bill of Rights Recommendation promoting fundamental human rights and advancing trust in AI for Open Science
– Guidance for Informed Consent in the context of AI and DV
– Guidance for Ethics Committees reviewing AI and DV projects
– Guidance on Secured Processing Environments for Open Science for AI and DV (draft)

Will they still be fit for purpose as the regulatory landscape evolves? For example, in the European Union (EU) the recent adoption of the Artificial Intelligence Act (AIA) as well as the proposal for a European Health Data Space Regulation (EHDSR) is reshaping the way data is regulated for the development and commercialization of lawful, safe and trustworthy AI systems. In North America, Canada is working on a proposal for an Artificial Intelligence and Data Act (AIDA) at the federal level (proposed in 2022) and the USA has a patchwork of state-level legislation related to AI regulation, but no comprehensive legislation that directly regulates AI at the federal level despite the Blueprint for an AI Bill of Rights providing a roadmap for responsible use of automated systems and AI, and the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (AI Executive Order) signed by President Biden in October 2023. In China, the Cyberspace Administration of China (CAC) finalized Measures for the Management of Generative Artificial Intelligence (AI) Services aiming at “safeguarding national security and social public interests” and “protecting the lawful rights and interests of citizens, legal persons, and other organizations.” In Latin America, the emphasis of all initiatives and official policies is on principles and implementation aspects of Responsible AI. Representatives of 17 countries in the region signed in August 2024 a declaration on AI governance, agreeing to cooperate both politically and technically, exchanging good practices and data. As local examples, the Brazilian government launched its national plan “AI for the Good of All” that covers specific socioeconomic areas, provisioning a budget for human and computational resources. Chile has also a national AI policy and action plan, as well as an AI bill that concerns regulation, risk analysis and recommendations. South American scientists are also concerned with advances in AI and its influence on research, such as the 2023 recommendations of the Brazilian Academy of Sciences. In Africa, the African Union is working on its Draft Continental Artificial Intelligence Strategy Harnessing AI for Africa’s Development and Prosperity.

The AIDV-WG aimed to foresee many of the concerns and objectives raised in the regulatory texts known to be in preparation. The AIDV-WG understood early the important role of policy, regulation, and ethics in sustainably meeting societal needs.

In the framework of this plenary session, the AIDV-WG will challenge its deliverables against the need for reliable and adaptable governance models that meet the needs of transformative technologies in a globally evolving regulatory landscape at the international, regional, and local levels. The session is specifically designed to provide examples of such developments in various continents and to gather additional information from the community.

Throughout the discussions, questions to address are:
– Are the AIDV RDA recommendations compatible with the latest regulatory developments?
– If not, is it feasible and desirable to update them?
– If yes, what process could be put in place?
– What is the meaning of “adoption of recommendations” in the context of a constantly evolving regulatory landscape?
– How to balance flexibility in our recommendations with practical usefulness?

The outcomes of this exercise will be broadly applicable to other RDA groups. For example, learning from the process of ‘pressure testing’ our deliverables will be relevant to other recommendations related to rapidly evolving technologies, standards, methods, and tools.

Critically, the AIDV-WG maintains that recommendations for AI governance must be informed by the RDA community and others to examine together horizontal actions across data disciplines, sectors, and systems for engaging digital communities in building data systems for achieving the United Nation’s 2030 Strategic Development Goals (SDGs) and other real-world outcomes. AI governance for transformative technologies is increasingly at the center of this interest. This will be a working meeting focused on discussion with and input from the RDA community in order to advance the dissemination, uptake, and implementation of the AIDV-WG’s outcomes for the governance of AI and DV across RDA activities and in relation to RDA partners.

The AIDV-WG proposes this session to examine the implementation and adaptability of its deliverables for the needs of AI governance in today’s rapidly changing digital society.

Introduction and discussion: AIDV WG co-chairs and members of the group|Presenters: Claudia M. Bauzer Medeiros (Confirmed); Gauthier Chassang (Confirmed); Francis P. Crawley (Online); Kristy Hackett (Confirmed); Lisa Fériol (Online); Natalie Meyers (Confirmed); Alexander Bernier (Online); Gnana Bharathy (Online); Ugochi Okengwu (Online); Luis Jacob Retanan (Online)|Modality of contribution to be confirmed (in person / online): Perihan Elif Ekmekci; Rodrigo Roa

00:00 Opening Remarks and Objectives of the Session from the Session Chairperson
(Claudia Bauzer Medeiros)
Quality: Co-chair, EOSC-Future/RDA Artificial Intelligence & Data Visitation Working Group (AIDV-WG)

The main objective of this working meeting is to discuss the contributions and ongoing relevance of the deliverables of the EOSC-Future/RDA Artificial Intelligence (AI) & Data Visitation (DV) Working Group (AIDV-WG) in relation to the rapidly evolving global regulatory AI landscape.

– Short overview of the WG deliverables (Natalie Meyers)

– Introduction of the speakers (Claudia Bauzer Medeiros)

Each speaker will give one or two examples of recently evolved regulation and will address the relevance of some recommendations from the deliverables.

00:10 Examples of regulatory evolution in Europe (16 min.)

Gauthier Chassang (France): The EU ArtificiaI Intelligence Act (AIA) and governance requirements (8 min.)
Lisa Feriol (France): Building sovereign data spaces for AI innovation: example of the proposed European Health Data Space Regulation (8 min.)

00:26 Examples of regulatory evolution in North America

Natalie Meyers (USA): Policy and Regulatory landscape in the USA (5 min.)
Kristy Hackett (Canada): Policy and Regulatory landscape in Canada (7 min.)

00:38 Examples of regulatory evolution in Africa / Oceana / Asia (20 min.)

Ugochi Okengwu & Eyiuche Ezigbo (Nigeria): Evolving Regulation in Africa & a Focus on Nigeria (5-8 min shared)
Gnana Bharathy (Australia): Evolving Regulatory Landscape in Australia and New Zealand (5 min.)
Luis Jacob Retanan (Philippines): Focus on Singapore / Philippines and ASEAN (5 min.)

01:00 Examples of regulatory evolution in South/Central America

Claudia M. Bauzer Medeiros (Brazil) : Examples from Latin America and Brazil (5 min.)
Rodrigo Roa (Chile) (Title to come) Specific focus: Chile (5 min.)

01:10 Discussion (20 min.)

Moderation: Claudia M. Bauzer Medeiros (in person), Anne Cambon-Thomsen (online chat), Ryan O’Connor (support)
In light of the examples presented the above questions will be discussed.

01:25 Wrap up (5 min.) (Natalie Meyers)
– Action points for the group
– Messages for RDA

Session closure by the Co-Chairs (Natalie Meyers; Claudia Bauzer Medeiros; Francis P. Crawley; Perihan Elif Ekmekci; Alexander Bernier)

Category
Value/Impact

Scientists/Researchers
To have access to and the ability to understand how to implement the AIDV-WG’s deliverables in a transformative digital governance environment
UN, international, and national agencies responsible for data and AI management and governance To provide a framework for AI governance in the digital environment where the UN Strategic Development Goals (SDGs) need to be met.

Data Scientists & Data support professionals (e.g., data managers, data curators)
To design and help implement the AIDV-WG’s deliverables in a transformative digital and regulatory governance environment.

Open Science/Research/Data Commons professionals
To develop open science features, functionalities, and interoperability incorporating the AIDV-WG’s deliverables designed for a transformative digital and regulatory governance environment

Tool developers/providers
To assist data system, tool, and services providers in understanding the latest developments in AI governance at the international, regional, and local levels

Research performing organizations
To make informed recommendations at the organizational policy level and to research data and computation departments on how to implement the AIDV-WG’s deliverables in a transformative digital and regulatory governance environment

Funders
To assist funders who support data science, AI applications, and science generally to understand the value in implementing the AIDV-WG’s deliverables in a transformative digital and regulatory governance environment