Session
Organizer 1: Olivier Crepin-Leblond, 🔒ISOC UK England
Organizer 2: Pari Esfandiari, 🔒Global TechnoPolitics Forum
Organizer 3: Luca Belli, 🔒
Organizer 4: Sandrine ELMI HERSI, ARCEP
Organizer 5: Yik Chan Chin, Beijing Normal University
Speaker 1: Vint Cerf, Private Sector, Western European and Others Group (WEOG)
Speaker 2: Hadia Elminiawi, Civil Society, African Group
Speaker 3: Renata Mielli, Government, Latin American and Caribbean Group (GRULAC)
Speaker 4: Sandrine ELMI HERSI, Government, Western European and Others Group (WEOG)
Invited Community Members:
- William Drake - Adjunct Professor, Columbia Business School, Acaedmic, WEOG
- Roxana Radu - Associate Professor of Digital Tech & Public Policy, Uni of Oxford, Academic, WEOG
- Shuyan Wu - Deputy Director of User and Market Research Department, China Mobile Research Institute, Private Sector, AP
Luca Belli, Civil Society, GRULAC
Roundtable
Duration (minutes): 75
Format description: The onsite moderator will explain the discussion topic and introduce speakers and subject matter experts, who will then engage in a roundtable conversation. After this, the facilitators will open the floor for a full discussion amongst all participants. Speakers will be encouraged to engage with the points made by all participants. The roundtable format is very helpful in facilitating full dialogue and our Dynamic Coalitions encourage such dialogues.
A. Openness and Transparency:
How to integrate the Internet's Core Internet Value of Openness into AI governance transparency and accountability, while safeguarding ethical standards, especially in the context of generative AI becoming the main gateway to access to content on the Internet?
B. Extending the concept of Network Neutrality to AI:
Should network neutrality principles apply to AI-driven content curation and algorithmic decision-making? To what extent are generative AIs becoming new gateways to access Internet content, and what are the possible consequences for the principle of net neutrality?
C. Decentralisation and Inclusivity:
What strategies prevent AI technologies from contributing to centralisation and information monopolies while encouraging decentralised AI innovation, inclusivity, competitiveness, and equitable access to AI advancements?
What will participants gain from attending this session?
The session offers a comprehensive understanding of integrating foundational Internet principles into AI governance frameworks. Key benefits include:
- Deepened Insight into Ethical AI Practices: How principles like transparency and accountability can be effectively applied to AI systems, fostering ethical standards and building public trust.
- Strategies to Mitigate centralisation Risks: how AI is contributing to centralisation and information monopolies, offering strategies to promote inclusive and decentralised AI innovation.
- Actionable Policy Recommendations: Formulating policy guidelines that harmonise Internet and AI governance, aiming to maintain an open, fair, and user-centric digital environment.
- Enhanced Analytical and Strategic Skils: an opportunity to enhance analytical skills in assessing AI's impact across various sectors and develop strategic approaches for leveraging AI in governance effectively.
- Networking with Experts: This is a chance to connect with professionals and thought leaders in the fields of Internet governance and AI ethics, fostering collaborations and knowledge exchange.
Description:
As Artificial Intelligence (AI) becomes a core part of digital ecosystems, rapidly transforming various sectors, integrating foundational Internet principles—openness, interoperability, and neutrality—into AI governance frameworks is crucial. This session will explore how these Core Values can inform AI Governance while addressing AI's unique challenges. As AI is affecting the functioning and use of digital infrastructures and services, this session also aims to discuss perspectives on securing a desirable future for the Internet in the age of AI.
Openness and transparency have been pivotal to the Internet's success, fostering innovation and inclusivity. This ensures transparent algorithms and data usage, allowing stakeholders to understand and trust AI processes, thereby mitigating biases and promoting fairness.
Interoperability, seamless interaction between diverse systems, is another hallmark of the Internet. Designing AI systems for interoperability can foster collaboration and accelerate technological advancements.
Network neutrality ensures equal treatment of data without discrimination. Extending this principle to AI ensures that AI-driven content curation and decision-making processes do not favour specific entities or viewpoints, preserving a fair and unbiased digital environment. This is particularly relevant as generative AI becomes a new main gateway to online content, affecting content diversity and source plurality, reshaping the Internet as we know it.
AI presents unique challenges that need customised approaches. Algorithmic bias can cause unfair results, requiring transparency and accountability to address these biases. There is also a risk of AI development being dominated by a few entities, leading to information monopolies. Promoting decentralised AI innovation and inclusive participation is crucial to counteract this trend. As generative AI significantly influences content curation, it is vital to consider whether network neutrality principles should apply to AI-driven platforms to ensure unbiased content delivery.
The primary goal of this session is to develop policy recommendations that harmonise Internet and AI governance, maintaining an open, fair, and user-centric digital environment. By examining the intersection of these domains, we aim to contribute to the development of ethical, transparent, and equitable AI systems that serve the global community.
Agenda:
- Introduction (5 minutes)
- Panellist interventions (20 minutes)
- Invited community members (20 minutes)
- Open discussion (20 minutes)
- Conclusions (10 minutes)
- Policy Recommendations: Develop actionable guidelines for integrating Core Internet Values—such as openness, interoperability, and neutrality—into AI governance frameworks, aiming to maintain an open, fair, and user-centric digital environment.
- Best Practices Compilation: Create a repository of best practices that promote transparency, accountability, and inclusivity in AI development and deployment.
- Collaborative Frameworks: Establish models for stakeholder collaboration to address challenges at the intersection of Internet principles and AI ethics.
- Emphasis on practical outcomes including country specific outcomes of AI systems that work and serve the global community
Specific Outputs:
- Conference Report: Produce a detailed report summarizing discussions, insights, and recommendations from the session.
- Policy Briefs: Develop concise documents outlining key policy recommendations for integrating Core Internet Values into AI governance, targeting policymakers and industry leaders.
- Follow-up Workshops: Organise subsequent workshops or webinars to delve deeper into specific aspects of AI governance, fostering ongoing dialogue and collaboration.
Hybrid Format: After years of organising ICANN and ISOC hybrid sessions, the organisers have extensive experience in fully utilising the hybrid format. The session will have (1) panellist participation, then (2) invited speakers reactions and (3) Open Discussion - and for each, there will be local and remote speakers. At the end, each speaker will be given an opportunity to summarise major takeaways from the discussion. The online moderator will both interrupt the local co-moderators when there is a hand up in the room, but also look out in particular for the written contributions online, because not all participants are comfortable actually speaking their contributions. After the session, the report of the session will take into account both what was said and what was written during the session.