Round Table Discussion and Dinner - Artificial Intelligence, Competition and Data

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.

The round table discussion will explore the rise of generative AI, the implications for competition, and the relevant regulatory environment, with particular attention to the impact of data. It will consider the adequacy of existing regulatory instruments, including the EU AI Act, Data Act, GDPR, DMA, DSA, and their future trajectory.

Those interested in contributing to the discussion should email Prof. Ariel Ezrachi.