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Moscow State Institute of International Relations (MGIMO)

Academia Eastern Europe

Responses

In your opinion, what outcomes would make the first Global Dialogue on AI Governance a success?

clusterisation of the discussion on three thematic areas - social and cultural dimension of AI, economical aspects (incl. trade, FDI, antitrust regulations), technical aspects (safe and secure AI, standards) support to the dialogue between "core" AI organisations in UN family and those where AI is only part of the operations and projects setting the longterm goals for AI capacity building based on the reports of AI Scientific Panel

From your perspective, which of the following thematic areas identified by the General Assembly Resolution 79/325 for the AI Dialogue reflect your priorities for urgent action and active engagement?

AI capacity-building;Social, economic, ethical, cultural, linguistic and technical implications of AI

Please briefly explain your selection.

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Currently we see a digital divide as the most urgent issue of international cooperation in AI. This divide is complex. As Global South countries lack not only access to AI solutions and adjusted ICT infrastructure but also institutional imbalances, skills and strategic vision in macroeconomic development based on AI. We see a great demand from developing countries for assistance to overcome this gap. Many of them consider IT in general and AI in particular as a means to overcome poverty through capacity-building and providing cheap digital workforce to global IT companies. Moreover, AI solutions in healthcare and education are considered as a pathway to overcome the lack of doctors and teachers and resolve the most urgent problems. AI implications in trade facilitation are needed to foster the Global South in foreign trade as well as open discussions on the trade policy and digital protectionism. At the same time there are some cheap open-source solutions which could strengthen AI capacity of Global South countries without considerable expenditures along with free-of-charge courses to build up competences and granting opportunities by international organisations including those of UN family to create infrastructure. There are also best practices in public private partnership to integrate AI solutions into economy. This experience would be highly useful for Global South Moreover, global AI regulatory field sees competing approaches to AI regulation demonstrated by different international organisations, institutions and fora. Global dialogue would be a suitable platform within the UN to coordinate these approaches on multidisciplinary basis. MGIMO AI Centre is able to assist developing countries in building up their professional capacities through education programmes along with in creating institutional potential through consulting of AI regulation and standardization.

In your opinion, are there any cross-cutting or emerging issues not captured by the listed themes above? If so, please explain.

trade, technology transfer, data

How are the governance gaps and related developments/advances in the thematic areas you selected above affecting your country, region, or sector? Please highlight the most significant challenges.

Russian industry witnesses a gap between AI capacities and ability of industrial enterprises to incorporate AI facilitated processes into industrial production and services. Best practices of such integration would be useful for many Russian SME's with a focus on open-source solutions. Russian IT companies are often unaware of procurement opportunities by UNIDO and other organisations of UN family. We are convinced that the same is true for IT companies from many countries. Thus, UN procurement often misses best solutions for value. UN could play a key role in connecting demand by Global South, donners and providers o best AI solutions from all over the world. Russian universities offer numerous courses on different aspects of AI. Some of them are free of charge. We are sure that similar educational opportunities are proposed by other universities as well. UN could facilitate meeting the demand by Global South and supply proposed by Global North. The ITU platform could be the ground for further developments in this regard.

What role can the AI Dialogue play in advancing international cooperation on AI governance?

Global Dialogue on Artificial Intelligence can fulfill following functions: - serve as a platform which accumulates diversified AI/IT related multidisciplinary demand on education, expertise including know-how and best practices, solutions, infrastructure, legal consulting, trade policy issues and data govberance from Global South; - serve as a platform to coordinate initiatives in AI including regulatory ones by different international organizations of UN family as well as other international institutions (WTO etc.). That would contribute significantly in avoiding the "club" approach that exist now.

What are some of the existing initiatives, partnerships, or mechanisms that the AI Dialogue should build upon or connect with, and what added value could the AI Dialogue bring?

UNIDO (purchases, best practices of AI application in industry), BRICS Center for Industrial Competences (platform for businesses), UNGM (purchases), UNDP (purchases, development assistance), UNESCO (capacity building), ITU (standardization), UNCITRAL (law modeling and procedures), WTO (trade policy, trade facilitation), WIPO (IP regulations), UNCTAD (trade and development mechanisms focused on digitalization and AI implementation) Global Dialogue could ensure synergy between wide range of UN initiatives in IT/ML.

How can different stakeholders contribute to the AI Dialogue? Please share recommendations for the format and structure of the AI Dialogue.

Global Dialogue could conduct its work through following instruments: - libraries of AI solutions, best practices and know-how, grants and development assistance, courses, rules and standards templates; - platforms for businesses, educational institutions and expert communities to propose their solutions and services; - regular thematic pitch-sessions for businesses, educational institutions and experts to present their products and services; - regular round-tables for representatives from governments and international organisations to present current regulatory initiatives.

Please share examples of policies, practices, platforms, or approaches that promote effective AI governance or offer concrete solutions to addressing its challenges.

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fostering standatisation for all the sectors where AI is applied, model laws for regional int