Onitiu, Daria

Ganesh, Bhargavi

Schafer, Burkhard

Downer, John

Winter, Peter

Li, Phoebe

Ramamoorthy, Ram

Williams, Robin

Gilbert, Stephen

Anderson, Stuart

UKRI

2023-06-09T12:58:57Z

2023-06-09T12:58:57Z

2023

We welcome the Government’s proposal to develop a new, coherent regulatory strategy for AI. While it maintains a sectoral focus, the development of cross-sector and cross-application principles and governance structures has the potential to create legal certainty, foster public acceptance, and facilitate responsible development of generic AI tools that are currently left unregulated. Our submission intends to discuss various aspects of the proposal, including: the design and enforcement of the regulatory framework; the context-driven and cross-sectoral principles’ approach, and the coordination between regulatory bodies for coherence and monitoring. Our submission will use medical device regulation for AI as enabled medical devices (AIaMD) as a sector-specific example to illustrate our recommendations. We have structured our response around the six questions in the consultation.

https://hdl.handle.net/1842/40650

http://dx.doi.org/10.7488/era/3411

en

UKRI Trustworthy Autonomous Systems Network (TAS)

Autonomous systems

Regulation

Governance

Trust

Artificial intelligence

AI

A response to the call for evidence on 'Establishing a pro-innovation approach to regulating AI” on behalf of the Regulation and Functionality nodes of the UKRI Trustworthy Autonomous Systems Network (TAS)

Technical Report