Session
Subtheme
Speaker 1: Laura Galindo Romero, Private Sector, Latin American and Caribbean Group (GRULAC)
Speaker 2: Thomas Schneider, Government, Western European and Others Group (WEOG)
Speaker 3: Umair M.Imam, Private Sector, Western European and Others Group (WEOG)
Speaker 4: Lorrayne Nalwoga, Technical Community, African Group
Speaker 5: Lorrayne Porciuncula, Civil Society, Latin American and Caribbean Group (GRULAC)
Speaker 2: Thomas Schneider, Government, Western European and Others Group (WEOG)
Speaker 3: Umair M.Imam, Private Sector, Western European and Others Group (WEOG)
Speaker 4: Lorrayne Nalwoga, Technical Community, African Group
Speaker 5: Lorrayne Porciuncula, Civil Society, Latin American and Caribbean Group (GRULAC)
Moderator
Sophie Tomlinson, Civil Society, Western European and Others Group (WEOG)
Online Moderator
Sophie Tomlinson, Civil Society, Western European and Others Group (WEOG)
Rapporteur
Sophie Tomlinson, Civil Society, Western European and Others Group (WEOG)
Format
Classroom
Duration (minutes): 90
Format description: A class room format will allow for short presentations and framing remarks from speakers followed by small group discussion (or break-group group). The workshop will be conducted through breakout groups to facilitate an in-depth, interactive exchange of ideas among key stakeholders, fostering collaboration between policymakers, industry leaders, and civil society. Given the complexity of AI value chains and the actors involved, this format allows for dynamic discussion, ensuring diverse perspectives from different regions and sectors. By structuring the workshop as breakout groups participants can actively contribute insights on their experiences.
Duration (minutes): 90
Format description: A class room format will allow for short presentations and framing remarks from speakers followed by small group discussion (or break-group group). The workshop will be conducted through breakout groups to facilitate an in-depth, interactive exchange of ideas among key stakeholders, fostering collaboration between policymakers, industry leaders, and civil society. Given the complexity of AI value chains and the actors involved, this format allows for dynamic discussion, ensuring diverse perspectives from different regions and sectors. By structuring the workshop as breakout groups participants can actively contribute insights on their experiences.
Policy Question(s)
A. What are the types of cross-value chain feedback loops in open source AI contexts? and how can actors cooperate?
B. How do AI Incident reporting frameworks work and how can cooperation across actors be supported?
C. What are the AI liability questions that arise?
What will participants gain from attending this session? Participants will learn about AI value chains in an open source environment and the different types of opportunities and challenges that arise across sectors. Participants will come away with a deeper understanding of roles and responsibilities of actors across the AI value chain and ideas for how to support cooperation. In terms of tools, participants will be equipped with practical examples of how AI value chains can manifest in health care and agriculture and a roadmap for supporting collaboration and common taxonomies to balance AI innovation with addressing risks and harms.
Description:
This workshop will explore the roles and responsibilities of actors across the AI value. Participants will discuss the importance of cooperation, shared language and taxonomies, and human oversight across the value chain and why cooperation is needed across actors. By including a diverse set of facilitators and speakers, the workshop will use a case study to foster collaborative discussions. Following short speaker introductions, there will be breakout group discussion on a case study, where participants will share their insights. This will be followed by a plenary discussion where participants will report back from their groups to outline key insights and recommendations.
This workshop will explore the roles and responsibilities of actors across the AI value. Participants will discuss the importance of cooperation, shared language and taxonomies, and human oversight across the value chain and why cooperation is needed across actors. By including a diverse set of facilitators and speakers, the workshop will use a case study to foster collaborative discussions. Following short speaker introductions, there will be breakout group discussion on a case study, where participants will share their insights. This will be followed by a plenary discussion where participants will report back from their groups to outline key insights and recommendations.
Expected Outcomes
Our methodology will encourage practical, solution-oriented discussions through structured exercises and collaborative problem-solving. Participants will have the opportunity to explore challenges from different stakeholder perspectives across the AI value chain. The workshop will also serve as an input into workshops and consultations taking place around the world, including France’s AI Action Summit and RightsCon 2025.
Hybrid Format: The moderator will actively engage online participants by animating an online group to discuss the activity and the questions and nominating delegates to report back to the in-person groups. Online attendees will be encouraged to turn on cameras and introduce themselves to create a more engaging experience. The organizers will also explore using Miro and Menti polling to encourage online and onsite participants to answer questions and spark discussion and reactions.