Policy Hub - Artificial Intelligence, Competition and Regulation
The emergence of generative AI and foundation models has captured the imagination of many. These models are trained on vast amounts of data, rely on deep learning to create new content, and can be adapted to execute a wide range of operations. Prominent, among foundation models, are ‘large language models’ and ‘image generation models’ that enable creative text, video, and audio, and as such differ from other technologies used to analyse existing data.
Foundation models have already been integrated into many facets of our life and business, to facilitate search, improve software, communications, text completion, text-to-speech conversion, content creation, entertainment, financial services, legal services, healthcare, education, pharma, fashion, marketing, insurance and more. These technologies promise to shake up the status quo in many industries, as they drive new business ventures, creativity, efficiency, and innovation. Not surprisingly, the market has reacted with excitement resulting in high valuations of the leading players and expectations for exponential growth in the coming years.
Alongside the expected benefits from Generative AI and Foundation Models, concerns have been raised as to its potency, limitations, development, and deployment of the technology. Concerns relate to the effects on privacy, autonomy, accountability, and legal rights, as well as the impact the technology may have on disinformation, societal structure, economic power, political stability, and the market for ideas.
Activities and events:
Discussions and events explore the rise of generative AI and the implications for competition dynamics and competition enforcement. Furthermore, the relevant regulatory environment is explored, with particular attention to the impact of data and consideration of the adequacy of existing regulatory instruments, including the EU AI Act, Data Act, GDPR, DMA, and DSA.
For further information about meetings, policy discussions, and activities, please see the CCLP events page.
AI and competition discussion Forum
This Forum offers an international platform for ongoing dialogue among researchers examining AI's transformative effects on competition and competition policy. By bringing together legal scholars, economists, data scientists and computer scientists, we aim to bridge critical knowledge gaps and foster interdisciplinary collaborations necessary to understand and shape policy responses to this rapidly evolving technology. The Forum enables scholars to share emerging insights and build cross-disciplinary bridges between legal doctrine, economic theory, and technological advancements, potentially advancing more timely and impactful scholarship.
For further information about the forum, contact the forum managers: Ariel Ezrachi and Michal Gal.
AI Depository of Scholarly Work
The depository of scholarly work was created to facilitate informed discussion on the interface between AI and competition. It includes links to working papers, speeches and books that explore this area of law and policy. We will strive to update and improve the depository as the discussion on AI progresses.
The depository offers a gateway to scholarship on a range of AI-related matters, including: AI & market power ; AI, exclusion and exploitation ; AI facilitated collusion ; AI targeting and manipulations ; AI mergers and cooperation ; Principles for AI regulation ; AI and remedy design.