The U.K.’s Competition and Markets Authority (CMA) has set out seven principles to guide the development and deployment of foundation models, a type of artificial intelligence (AI) system that is used to create many generative AI use cases.
CMA’s guidelines encompass seven fundamental principles for companies engaged in building foundation models. They emphasize accountability, ensuring that developers and businesses using these models are responsible for the results delivered to consumers.
They also stress the importance of providing widespread access to essential components like chips, processors, and training data, essential for AI system development.
Additionally, CMA encourages a diverse array of business models, encompassing both open and closed models. Companies are urged to grant businesses the flexibility to decide how they employ these models, fostering interoperability and discouraging anti-competitive practices like bundling or self-preferencing. Transparency is another key pillar, with CMA insisting that companies unveil the risks and limitations associated with generative AI content.
These principles were formulated following an initial review, preceding a series of dialogues with stakeholders, including developers like Google, Meta, OpenAI, and Microsoft, among others.
CMA asserts that these principles are indispensable to safeguarding competition and preventing the proliferation of underperforming AI systems. It adds that providing principles for the development and deployment of foundation models is necessary to protect competition and prevent low-performing AI systems from proliferating.
The sources for this piece include an article in TheVerge.
