Session
Organizer 1: Civil Society, Western European and Others Group (WEOG)
Organizer 2: Civil Society, Western European and Others Group (WEOG)
Organizer 2: Civil Society, Western European and Others Group (WEOG)
Speaker 1: Ramsha Jahangir , Civil Society, Asia-Pacific Group
Speaker 2: Julia Haas, Intergovernmental Organization, Intergovernmental Organization
Speaker 3: Michael Karanicolas, Civil Society, Western European and Others Group (WEOG)
Speaker 2: Julia Haas, Intergovernmental Organization, Intergovernmental Organization
Speaker 3: Michael Karanicolas, Civil Society, Western European and Others Group (WEOG)
Format
Roundtable
Duration (minutes): 60
Format description: We want to encourage conversation and discussion rather than a hierarchical presentation and make sure that we leave time for a robust discussion while also enabling participants to join other sessions
Duration (minutes): 60
Format description: We want to encourage conversation and discussion rather than a hierarchical presentation and make sure that we leave time for a robust discussion while also enabling participants to join other sessions
Policy Question(s)
1. How can inclusive data governance frameworks mitigate risks of information dominance while promoting equitable and local AI development?
2. What strategies can ensure AI systems are trained on diverse, representative, and high-quality data to support public interest objectives?
3. How can data governance practices enhance content integrity, media resilience, and inclusive information ecosystems?
What will participants gain from attending this session? Participants will learn about how different jurisdictions govern data in AI systems and the implications for sustainable innovation in which the benefits accrue to a wide array of stakeholders. They will gain a deeper understanding of data governance strategies that promote quality and inclusive information ecosystems. It will present research on AI and copyright and AI governance frameworks from Brazil, Europe, Japan, Indonesia, South Africa, the UK and the US on practical frameworks that prevent power consolidation, as well as examples of inclusive data governance initiatives that support innovative and sustainable AI. Attendees will also acquire actionable ideas for building AI systems that reflect diverse voices, ensuring public interest outcomes in the digital landscape.
Description:
This roundtable session will explore data governance strategies for advancing quality, inclusive information ecosystems to support equitable, sustainable, and innovative AI in the public interest. The discussion will focus on practical approaches for mitigating power concentration in digital platforms to ensure local sovereignty over AI innovation, development and deployment. It will highlight how diverse data governance practices can promote fairer information flows, better training data for AI systems, and more effective public interest outcomes that center human thriving. It will present research from Brazil, Europe, Japan, Indonesia, South Africa, the UK and the US on practical frameworks that prevent power consolidation, as well as examples of inclusive data governance initiatives that support innovative and sustainable AI. By exploring global case studies and best practices, the workshop will emphasize approaches that strengthen digital resilience, improve content integrity, and empower underserved and marginalized communities through inclusive data governance frameworks. The session will also include a discussion of the pros and cons of adopting copyright frameworks for text and data mining, examining how these frameworks may impact innovation, human labor, information access, and equitable, multilingual and multicultural AI development and deployment. Speakers include voices from academia, civil society, the private sector, and marginalized communities to ensure a broad range of perspectives that highlight the challenges and opportunities with different policy approaches.
This roundtable session will explore data governance strategies for advancing quality, inclusive information ecosystems to support equitable, sustainable, and innovative AI in the public interest. The discussion will focus on practical approaches for mitigating power concentration in digital platforms to ensure local sovereignty over AI innovation, development and deployment. It will highlight how diverse data governance practices can promote fairer information flows, better training data for AI systems, and more effective public interest outcomes that center human thriving. It will present research from Brazil, Europe, Japan, Indonesia, South Africa, the UK and the US on practical frameworks that prevent power consolidation, as well as examples of inclusive data governance initiatives that support innovative and sustainable AI. By exploring global case studies and best practices, the workshop will emphasize approaches that strengthen digital resilience, improve content integrity, and empower underserved and marginalized communities through inclusive data governance frameworks. The session will also include a discussion of the pros and cons of adopting copyright frameworks for text and data mining, examining how these frameworks may impact innovation, human labor, information access, and equitable, multilingual and multicultural AI development and deployment. Speakers include voices from academia, civil society, the private sector, and marginalized communities to ensure a broad range of perspectives that highlight the challenges and opportunities with different policy approaches.
Expected Outcomes
The session aims to generate actionable insights on inclusive data governance strategies for AI development, including consideration of copyright, sovereignty, competition, and inclusivity. Expected outputs include a summary report with key takeaways and policy recommendations for governments, regulators, and industry stakeholders. The session will also contribute to ongoing multistakeholder dialogues on AI governance, supporting initiatives that promote digital inclusion and equitable innovation frameworks.
Hybrid Format: We use experienced online and offline moderators to actively engage with and bridge onsite and virtual spaces, ensuring equal participation opportunities. The session will be structured around 20-minute thematic segments, each beginning with brief expert inputs from both physical and virtual participants followed by moderated discussions. We'll employ physical "idea walls" mirrored digitally where participants can contribute using QR codes. We'll use a digital "hand-raising" system synchronized with physical participation, alongside a real-time collaborative document where all can contribute simultaneously and "cross-space" check-ins throughout the session ensuring online voices are consistently integrated into discussions. We;ll also keep track of who has spoken and proactively invite those who have not to contribute. Throughout the session we'll use interactive polling for spontaneous temperature checks on ideas and policy positions throughout the session that will be run by a dedicated person who will share results in the chat and with the moderator