The rapid development of artificial intelligence methods and technologies poses new challenges to every individual: new medicine, new education, new jurisprudence, new technology, new economics, new politics, new science, and a new fabric of social relations. As we create AI, it is creating us in turn in a process of ‘co-evolution.’ This will only become more significant in the coming years, and we hope that humans will be the ones to determine the trajectory of this co-evolutionary process.

The changes taking place are only weakly reflected upon, and even less so consciously acknowledged. We firmly believe that, in the near future, working with AI will focus on three inseparable and essential components: science, technology, and the humanities.

We hope to establish a long-term cross-disciplinary discussion platform where AI researchers, philosophers, linguists, computer science and IT industry practitioners, managers, and anyone else interested can exchange ideas about the mutual influence of the two complex systems of AI and society.

The conference will be held offline. Online presentations will only be possible for foreign citizens unable to travel to Russia for serious reasons. The working languages of the conference are Russian and English.

Event page at HSE website

Artificial intelligence has emerged as an innovative power, capable of fundamentally reshaping markets and businesses. While benefiting to firms by lowering barriers and reducing costs, AI also poses risks to competitive dynamics and enables various types of abuse, such as unfair data access, concentration of infrastructure ownership, and potential manipulation of consumer choice. Creating an innovation-friendly and open environment for AI developers and ensuring fair competition at the same time is an issue yet to be solved by policymakers.

Despite this, AI also has the potential to enrich the regulatory toolbox and design more efficient regulatory policies. While regulators usually lag behind global companies in data consolidation and analysis, they may want to shift to AI-tools to bridge this gap. AI-based computational tools can deliver greater predictability and more advanced evidence- gathering capabilities.

This seminar will focus both on the competition risks of AI technology and on the ways competition authorities can harness it for the benefit of better competition enforcement. The discussion brings together representatives of the BRICS+ competition authorities, academics and industry experts in a series of conversations to position competition law against the growing challenges of AI transformation.