MGIMO AI Centre at Kazan International Legal Forum 2025 (KILF-2025), Session “Artificial Intelligence as a Catalyst for Legal Change”
The MGIMO AI Centre took part in the session “Artificial Intelligence as a Catalyst for Legal Change” at Kazan International Legal Forum 2025 (KILF-2025). The discussion covered the legal regulation of AI, AI education, team transformation and the risks of uncontrolled technology use, as well as approaches to data security and liability for harm arising from the use of AI.
The session was moderated by Ekaterina Svishcheva (VEB.RF), who framed the discussion around technological sovereignty and the objectives set out in VEB.RF’s 2030 strategy.
Participants addressed the following topics:
Stanislav Razhkovsky, Deputy Head of the Moscow Department of Information Technologies (DIT):
On approaches to deploying AI in the public sector and the need for professional communities.
Marina Abdrakhanova, Head of the Cross-Industry Technology Transfer Centre at Innopolis University:
On technology transfer, the state science-management platform, and legal barriers in working with big data and intellectual property when using AI.
Sergey Kalashnikov, Head of IP & IT Legal at Yandex LLC:
Deepfakes—what should be regulated and how? Criminal liability and other regulatory challenges.
Daria Toropova, LegalTech Expert at Doczilla:
Data protection and security in AI products and corporate needs, with real-world implementation cases under the current legislation of the Russian Federation.
Nikita Kuliev, Head of Legal at MWS AI (MTS Web Services):
On digital transformation of teams and companies; risks of uncontrolled AI use in organizations (in the absence of a leading AI officer or an equivalent function/unit); rapid assessment of corporate AI maturity.
Kseniya Pankova, Junior Research Fellow, MGIMO AI Centre:
On AI in education—from frontier models to Russia’s regulatory strategy.
Drawing on international experience, the MGIMO AI Centre’s Junior Research Fellow highlighted trends in the use of large language models in teaching, requirements for ethics and academic integrity, and the need to train national talent with AI expertise—illustrated by the joint MGIMO–MIPT Master’s program “Artificial Intelligence.”
The session was moderated by Ekaterina Svishcheva (VEB.RF), who framed the discussion around technological sovereignty and the objectives set out in VEB.RF’s 2030 strategy.
Participants addressed the following topics:
Stanislav Razhkovsky, Deputy Head of the Moscow Department of Information Technologies (DIT):
On approaches to deploying AI in the public sector and the need for professional communities.
Marina Abdrakhanova, Head of the Cross-Industry Technology Transfer Centre at Innopolis University:
On technology transfer, the state science-management platform, and legal barriers in working with big data and intellectual property when using AI.
Sergey Kalashnikov, Head of IP & IT Legal at Yandex LLC:
Deepfakes—what should be regulated and how? Criminal liability and other regulatory challenges.
Daria Toropova, LegalTech Expert at Doczilla:
Data protection and security in AI products and corporate needs, with real-world implementation cases under the current legislation of the Russian Federation.
Nikita Kuliev, Head of Legal at MWS AI (MTS Web Services):
On digital transformation of teams and companies; risks of uncontrolled AI use in organizations (in the absence of a leading AI officer or an equivalent function/unit); rapid assessment of corporate AI maturity.
Kseniya Pankova, Junior Research Fellow, MGIMO AI Centre:
On AI in education—from frontier models to Russia’s regulatory strategy.
Drawing on international experience, the MGIMO AI Centre’s Junior Research Fellow highlighted trends in the use of large language models in teaching, requirements for ethics and academic integrity, and the need to train national talent with AI expertise—illustrated by the joint MGIMO–MIPT Master’s program “Artificial Intelligence.”
