Session
Organizer 1: Yik Chan Chin, Beijing Normal University
Organizer 2: J Amado Espinosa L, Medisist
Organizer 3: Sergio Mayo Macias, Instituto Tecnológico de Aragón
Speaker 1: Yik Chan Chin, Civil Society, Asia-Pacific Group
Speaker 2: DengChen Gu, Private Sector, Asia-Pacific Group
Speaker 3: Neha Mishra, Civil Society, Asia-Pacific Group
Speaker 4: J Amado Espinosa L, Private Sector, Latin American and Caribbean Group (GRULAC)
Yik Chan Chin, Civil Society, Asia-Pacific Group
Sergio Mayo Macias, Technical Community, Western European and Others Group (WEOG)
Yik Chan Chin, Civil Society, Asia-Pacific Group
Roundtable
Duration (minutes): 90
Format description: The session will focus on a specific Internet governance topic, the topic is focused but also broad that will require in-depth deliberation and debate by five experts with diverse perspective, gender, region, and stakeholder group , thus 90 minutes roundtable is the best suited format to allow a sufficiently deep and effective deliberation and interaction.
1) What are the most important common regulatory, technological and semantic issues needed to be addressed universally? 2) How can the governments, private and technical sectors promote the above-mentioned semantic interoperability of different AI systems ? 3) How can the governments, private and technical sectors promote collaborative and inclusive international cooperation to align above-mentioned methodologies and mechanism in the governance of AI systems ?
What will participants gain from attending this session? The participants and attendees will gain new knowledge, insights and understanding of 1) individual country and region’s current AI interoperability efforts 2) The scope of and most important mechanisms of achieving the interoperability of AI Governance from technologic, regulatory and semantic perspectives 3) How to promote the collaborative and inclusive international cooperation to achieve the AI governance's interoperability
Description:
Interoperability is often understood as the ability of different systems to communicate and work seamlessly together. OECD AI principles, recent UN Resolution on AI, and UN HLAB on AI's interim report all stresses on the importance of developing interoperable AI. We need to analyse if and how different regulations/norms/standards/ to govern AI could work together. The 2023 IGF PNAI report defines the interoperability in AI as a framework that brings together of three key aspects: (1) the substantive mechanisms involved in guiding and developing of digital technology; (2) multistakeholder interactions and interconnections, and (3) agreed ways to communicate and cooperate. Recent developments in the EU and ASEAN regions offer valuable insights emphasising transparency, accountability, and defining interoperability requirements that ensure AI systems are comprehensible and operate consistently across different regions. This workshop will address the interoperability of AI governance from three aspects: 1. Defining clearly the interoperability scope and mechanisms considering technological, regulatory and semantic perspectives. 2 Promoting semantic interoperability: the ability for systems to exchange information with shared meaning through the use of universal standards. 3. Promoting collaborative and inclusive international cooperation to align methodologies and mechanism that promote innovation and prevent the fragmentation of the governance of AI systems. For instance, potential agreement on the standards for a technical exchange of data, testing, training and deployment etc Speakers and moderators from Europe, China, USA, Mexico and Africa will discuss above questions from diverse geographic and stakeholders’perspectives. They include Dr. Gu Deng Chen , Research Fellow, the Digital China Institute of the University of Chinese Academy of Social Sciences; Dr. Neha Mishra, Assistant Professor, International Law, Geneva Graduate Institute, Switzerland; Dr. Amado Espinosa , Founder and CEO of Medisis, Mexico ; Dr. Yik Chan Chin, Associate Professor, Beijing Normal University;Ms. Shamira Ahmed Executive Director Data Economy Policy Hub
1) Deliberate and identify the scope and most important mechanisms of achieving the interoperability of AI Governance from technical, regulatory and semantic perspectives; 2) Identify the different AI governance interoperability efforts and problems in speakers’ countries and region; 3) Develop a framework for collaborative response that includes multi-stakeholders (not only governments) such as technical sector, civil society, private sector and other specialists to provide a meaningful platform that tackles the interoperability of AI governance. 4) Policy recommendations and key messages report to the UN and regional/national IGF communities, private AI companies, and other relevant epistemic communities including thinktanks such as Oxford Global Society, Industrial associations such as China’s Artificial Intelligence Industry Alliance etc
Hybrid Format: 1) The workshop has an onsite moderator and online moderator, each is responsible for moderating the onsite and online speakers and attendees. And both moderators will ensure all speakers and attendees no matter online and onsite will have the equal opportunity to speak, raise questions and engage in each session of the workshop. 2)The session will be moderated by the online and onsite moderators. The moderators will invite each speaker to express their views on a set of questions and guide the debate amongst speakers and the audience, moderators will invite questions from the onsite audience and online participants, the question time will last about 30 minutes in order to provide sufficient interactions amongst speakers, audience and online participants. 3)The social media platforms including Youtube, X, Facebook, Weibo and Wechat etc will be used to increase the participation and to carry out online streaming of the session,