The conference is dedicated
300th anniversary of the Russian Academy of Sciences
270th anniversary of Lomonosov Moscow State University.
The Scientific Council under the Presidium of the Russian Academy of Sciences on Artificial Intelligence Methodology and Cognitive Research and the School of Public Administration of Lomonosov Moscow State University are holding an International scientific and practical conference “GENERATIVE ARTIFICIAL INTELLIGENCE IN SCIENCE, EDUCATION, ECONOMICS and PUBLIC ADMINISTRATION: Pro&Contra” (“Generative Artificial Intelligence in Science, Education, Economics and Public Administration: Pro&Contra” (GAI:Pro&Contra 2024)
THE PURPOSE OF THE CONFERENCE
Identification of prospects for the application of generative artificial intelligence in various fields and the risks that arise, discussion of directions and mechanisms for improving regulation, ensuring the safety of the application of generative artificial intelligence, familiarization with the experience of foreign countries in regulating the application of generative artificial intelligence.
THE FORMAT OF THE CONFERENCE
Plenary session
Date: Tue, 15 Oct 2024. Time: 10:00 – 13:00 (UTC+3, Moscow, Russia)
Section 1
«Generative AI in Science and Education»
Date: Wed, 16 Oct 2024. Time: 11:00 – 14:00 (UTC+3, Moscow, Russia)
Section 2
«Regulation of the Development and Application of Generative AI: Standardization, Risks, Safety»
Date: Wed, 16 Oct 2024. Time: 15:00 – 18:00 (UTC+3, Moscow, Russia)
Date: Tue, 15 Oct 2024. Time: 15:00 – 18:00 (UTC+3, Moscow, Russia)
The working languages of the conference are Russian/English.
The form of participation – in person or online. To be included in the conference program, the authors submit 2-3 pages of abstracts to the Conference Program Committee by October 04, 2024.
Conference participants who have made a presentation at the conference (in person, online) receive certificates of participation (in electronic form).
SECTIONS INFORMATION
Section 1
“Generative AI in Science and Education”
Date: Wed, 16 Oct 2024. Time: 11:00 – 14:00 (UTC+3, Moscow, Russia)
Moderators of the section:
Yuriy U. Petrunin, PhD, Deputy Dean for Distance Learning and Digitalization of the Scientific and Educational Process, Head of the Department of Mathematical Methods and Information Technologies in Management, School of Public Administration, Lomonosov Moscow State University, Head of the Knowledge Management Section of the Scientific Council under the Presidium of the Russian Academy of Sciences on the Methodology of Artificial Intelligence and Cognitive Research
Andrey U. Alekseyev, PhD,Scientific Secretary and Coordinator of scientific programs of the Scientific Council on the Methodology of Artificial Intelligence and Cognitive Research at the Presidium of the Russian Academy of Sciences.
Topics for discussion:
- Is Generative AI an assistant in scientific research or a new scientific methodology? The problems of authorship, originality, reproducibility and evidence of scientific conclusions when using AI and Generative AI. Is Generative AI a kind of AI?
- The impact of Generative technology on the educational process: growth opportunities and potential threats. Choosing the optimal trajectory;
- The quality and reliability of information of Generative AI. The risks of spreading false information and loss of confidence in scientific conclusions;
- Principles of using Generative AI in science and education: the first steps. What should we do next?
- The gap between two cultures – teachers and students. Is it possible and necessary to limit the use of Generative AI in training? What kind of reorganizations of educational processes are needed?
- Artificial intelligence and collective intelligence – is it synergy in scientific and educational projects?
Section 2
“Regulation of the Development and Application of Generative AI: Standardization, Risks, Safety”.
Date: Wed, 16 Oct 2024. Time: 15:00 – 18:00 (UTC+3, Moscow, Russia)
Moderators of the section:
Sergey V. Garbuk, PhD, Chairman of the Technical Committee No. 164 “Artificial Intelligence” of Rosstandart of Russia.
Svetlana S. Popova, PhD, Head of the Master of Public Administration program, Associate Professor of the Department of Legal Foundations of Management, School of Public Administration, Lomonosov Moscow State University, State Adviser of Justice 1st class.
Nikolay N. Chernogor, Professor of the Russian Academy of Sciences, PhD, Advisor to the Director of the Institute of Legislation and Comparative Law under the Government of the Russian Federation.
Topics for discussion:
- Legal problems of regulation of generative AI: definition of the subject of regulation, a variety of approaches;
- Ethics and standardization issues: ethical principles of the development and application of generative AI, the creation of universal standards for generative AI, ensuring transparency and accountability of generative AI algorithms, the impact of diversity of cultures, traditions and ethical norms on the standardization of the development and application of generative AI;
- Technical aspects of generative model security: data protection during generative model training, prevention of unpredictable and undesirable results of generative AI;
- Risks of generative AI: risks of using generative AI and the possibility of minimizing them, risk management in the use of generative AI in various industries (medicine, finance, media, etc.), liability for damage caused by generative AI, control and limitations of the capabilities of generative AI systems to prevent their abuse;
- The future of generative AI regulation: scenarios for the regulation of generative AI, ensuring a balance between innovation and safety in the development and application of AI;
- Foreign practice and international cooperation in regulating the development and application of generative AI.
- Prospects for legal state regulation in the field of strong artificial intelligence: attempts to limit the limitless.
Section 3
“Generative, Predictive and Proactive Artificial Intelligence in Economics and Public Administration”
Date: Tue, 15 Oct 2024. Time: 15:00 – 18:00 (UTC+3, Moscow, Russia)
Moderators of the section:
Veduta Elena Nikolaevna, PhD, Head of the Department of Strategic Planning and Economic Policy, Faculty of Public Administration, Lomonosov Moscow State University, Head of the section “Artificial Intelligence in Economics” of the Scientific Council under the Presidium of the Russian Academy of Sciences on the Methodology of Artificial Intelligence and Cognitive Research, professor.
Malinetsky Georgy Gennadievich, PhD, Head of the Department of Mathematical Modeling of Nonlinear Processes at the Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences, member of the Academy of Military Sciences, professor.
Peter Ototsky, Ph.D., Head of the Department for the Study and Development of AI in the field of public administration. Graduate School of Public Management. RANEPA
Topics for discussion:
- Possible use of AI and neural networks in public administration and socio-economic planning.
- Proactive AI in the economy and public administration as a potential for cardinal improvement of life.
- Proactive AI in ensuring balanced economic development in the direction of increasing the quality of life.
- State automated information system “Management” as ensuring the economic security of the country in the context of the digital economy.
- Generative AI is a benefit for humanity or a source of profit for the largest IT companies.
- The impact of generative AI on the labor market and government Human resources policy.
- AI for proactive policy and public administration. The value of error and ethical regulation.
- The impact of AI in the economy on reducing cybercrime.
- Generative AI and big data for public administration.
- Achievements in the field of AI and some factors of inhibition of the Russian Federation in the implementation of the strategy of achieving leadership.