Session
Organizer 1: Civil Society, Asia-Pacific Group
Speaker 1: Renata Avila, Civil Society, Latin American and Caribbean Group (GRULAC)
Speaker 2: Pranesh Prakash, Civil Society, Asia-Pacific Group
Speaker 3: Sunil Abraham, Private Sector, Asia-Pacific Group
Speaker 4: Helani Galpaya, Civil Society, Asia-Pacific Group
Speaker 2: Pranesh Prakash, Civil Society, Asia-Pacific Group
Speaker 3: Sunil Abraham, Private Sector, Asia-Pacific Group
Speaker 4: Helani Galpaya, Civil Society, Asia-Pacific Group
Format
Roundtable
Duration (minutes): 90
Format description: The roundtable layout enables direct dialogue between diverse stakeholders, creating an equal platform for civil society advocates, technical experts, and business representatives to engage collaboratively on contentious policy issues. The 90-minute duration is necessary to explore the complex interplay between data protection, copyright, and AI innovation thoroughly, allowing time for both case study presentations and interactive discussions that will produce tangible outcomes such as principles and frameworks. This timeframe ensures participants can fully articulate diverse viewpoints and develop actionable recommendations that balance protection with openness.
Duration (minutes): 90
Format description: The roundtable layout enables direct dialogue between diverse stakeholders, creating an equal platform for civil society advocates, technical experts, and business representatives to engage collaboratively on contentious policy issues. The 90-minute duration is necessary to explore the complex interplay between data protection, copyright, and AI innovation thoroughly, allowing time for both case study presentations and interactive discussions that will produce tangible outcomes such as principles and frameworks. This timeframe ensures participants can fully articulate diverse viewpoints and develop actionable recommendations that balance protection with openness.
Policy Question(s)
1. How can data protection and copyright regulations be designed to protect individual rights while preserving access to knowledge and enabling responsible AI innovation, especially in developing countries?
2. What governance frameworks can prevent the weaponization of intellectual property and privacy laws against open innovation while still offering meaningful protections?
3. How can policymakers balance the competing interests of privacy protection, creator compensation, and maintaining an accessible digital commons to ensure equitable benefits from AI technologies?
What will participants gain from attending this session? Participants will gain insights into the trade-offs surrounding regulations around copyright, data protection, access to knowledge, and innovation. They will learn about frameworks for data governance that support the digital commons in the context of AI. Attendees will also learn of examples demonstrating how harmful regulations can prevent beneficial innovation.
The workshop will provide concrete examples of initiatives that have successfully navigated these tensions, offering models that participants can adapt. Stakeholders will benefit from diverse perspectives spanning civil society, technical communities, and business sectors.
In short:
- Enhanced understanding of the trade-offs between data protection, access to knowledge and open innovation.
- Practical approaches to responsible AI development that respect both individual rights and collective benefits
- Frameworks for evaluating when regulations may unduly restrict innovation
- Networks of practitioners addressing similar challenges
- Draft principles for balanced governance supporting sustainable innovation while protecting fundamental rights
Description:
This workshop addresses a critical dimension of sustainable and responsible innovation: ensuring that legal frameworks designed to protect individuals and creators support rather than impede the digital commons and open innovation. As AI technologies evolve rapidly, navigating the tensions between data protection, copyright, privacy rights, and freedom of expression has become essential for inclusive innovation, especially in the developing countries that the organizers have studied. Our multi-stakeholder panel will examine how data governance frameworks can be designed to promote transparency and responsible use while avoiding overly restrictive interpretations that hinder open innovation. We will present concrete cases where balanced approaches have successfully protected individual rights while preserving access to knowledge with previous technologies. The session will focus on: - Frameworks for responsible open AI development that respect both privacy and the need for diverse training data - Governance approaches that prevent the weaponization of data protection and copyright against free and open innovation and the digital commons - Community-led initiatives for creating sustainable and accessible digital commons; - Potential policies and regulations that enable collective benefits while optimizing for the trade-offs involved. The workshop features diverse perspectives from civil society advocates for privacy, openness and access to knowledge; and the business and technical leaders developing open AI solutions. Through interactive discussions and collaborative problem-solving, participants will seek to develop principles for responsible innovation that protects rights without concentrating knowledge and technological power in the hands of a few. By bringing together these varied views, this workshop aims to produce actionable recommendations for governance approaches that support sustainable innovation through balanced protection of both individual rights and the digital commons.
This workshop addresses a critical dimension of sustainable and responsible innovation: ensuring that legal frameworks designed to protect individuals and creators support rather than impede the digital commons and open innovation. As AI technologies evolve rapidly, navigating the tensions between data protection, copyright, privacy rights, and freedom of expression has become essential for inclusive innovation, especially in the developing countries that the organizers have studied. Our multi-stakeholder panel will examine how data governance frameworks can be designed to promote transparency and responsible use while avoiding overly restrictive interpretations that hinder open innovation. We will present concrete cases where balanced approaches have successfully protected individual rights while preserving access to knowledge with previous technologies. The session will focus on: - Frameworks for responsible open AI development that respect both privacy and the need for diverse training data - Governance approaches that prevent the weaponization of data protection and copyright against free and open innovation and the digital commons - Community-led initiatives for creating sustainable and accessible digital commons; - Potential policies and regulations that enable collective benefits while optimizing for the trade-offs involved. The workshop features diverse perspectives from civil society advocates for privacy, openness and access to knowledge; and the business and technical leaders developing open AI solutions. Through interactive discussions and collaborative problem-solving, participants will seek to develop principles for responsible innovation that protects rights without concentrating knowledge and technological power in the hands of a few. By bringing together these varied views, this workshop aims to produce actionable recommendations for governance approaches that support sustainable innovation through balanced protection of both individual rights and the digital commons.
Expected Outcomes
- A set of foundational principles for balanced data governance that protects individual rights while preserving the digital commons and enabling open innovation in AI.
- A framework document outlining criteria for evaluating when copyright and data protection regulations may unduly restrict access to knowledge and innovation.
Hybrid Format: To ensure an engaging hybrid experience, we will:
* Designate a dedicated online moderator who focuses exclusively on integrating remote participants, ensuring their questions receive equal attention alongside in-person attendees
- Use Claper for real-time polls and collaborative exercises that both online and onsite participants can join simultaneously via mobile devices or computers
- Create a shared digital document visible to all participants for collaborative note-taking
- Utilize a digital queue system for questions that merges online and in-person contributions in one transparent list
* Test all technical integrations prior to the event and have backup facilitators prepared to smoothly manage any technical challenges