Response to the UK’s March 2023 White Paper "A pro-innovation approach to AI regulation"

Andrew J Charlesworth; Kit Fotheringham; Colin Gavaghan; Albert Sanchez-Graells; Clare N Torrible

Response to the UK’s March 2023 White Paper "A pro-innovation approach to AI regulation"

Andrew J Charlesworth, Kit Fotheringham, Colin Gavaghan, Albert Sanchez-Graells, Clare N Torrible

Research output: Other contribution

Abstract

Here, we provide a response to the UK Government's March 2023 white paper "A pro-innovation approach to AI regulation". We challenge the white paper's claims that it puts forward a balanced, pragmatic, proportionate, contextualised, and agile model that leverages the capabilities and skills of existing regulators to foster AI innovation. We also challenge the claims that the model is underpinned by a set of principles providing a clear, unified, and flexible framework that improves upon the current ‘complex patchwork of legal requirements’.

Original language	English
Type	Response to public consultation
Number of pages	19
Publication status	Published - 19 Jun 2023

Structured keywords

Centre for Global Law and Innovation

Keywords

artificial intelligence
regulation
innovation
principles
guidance
public sector
regulatory capture
regulatory tilt
innovation first
pro-innovation

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title = "Response to the UK{\textquoteright}s March 2023 White Paper {"}A pro-innovation approach to AI regulation{"}",

abstract = "Here, we provide a response to the UK Government's March 2023 white paper {"}A pro-innovation approach to AI regulation{"}. We challenge the white paper's claims that it puts forward a balanced, pragmatic, proportionate, contextualised, and agile model that leverages the capabilities and skills of existing regulators to foster AI innovation. We also challenge the claims that the model is underpinned by a set of principles providing a clear, unified, and flexible framework that improves upon the current {\textquoteleft}complex patchwork of legal requirements{\textquoteright}.",

keywords = "artificial intelligence, regulation, innovation, principles, guidance, public sector, regulatory capture, regulatory tilt, innovation first, pro-innovation",

author = "Charlesworth, {Andrew J} and Kit Fotheringham and Colin Gavaghan and Albert Sanchez-Graells and Torrible, {Clare N}",

year = "2023",

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day = "19",

language = "English",

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T1 - Response to the UK’s March 2023 White Paper "A pro-innovation approach to AI regulation"

AU - Charlesworth, Andrew J

AU - Fotheringham, Kit

AU - Gavaghan, Colin

AU - Sanchez-Graells, Albert

AU - Torrible, Clare N

PY - 2023/6/19

Y1 - 2023/6/19

N2 - Here, we provide a response to the UK Government's March 2023 white paper "A pro-innovation approach to AI regulation". We challenge the white paper's claims that it puts forward a balanced, pragmatic, proportionate, contextualised, and agile model that leverages the capabilities and skills of existing regulators to foster AI innovation. We also challenge the claims that the model is underpinned by a set of principles providing a clear, unified, and flexible framework that improves upon the current ‘complex patchwork of legal requirements’.

AB - Here, we provide a response to the UK Government's March 2023 white paper "A pro-innovation approach to AI regulation". We challenge the white paper's claims that it puts forward a balanced, pragmatic, proportionate, contextualised, and agile model that leverages the capabilities and skills of existing regulators to foster AI innovation. We also challenge the claims that the model is underpinned by a set of principles providing a clear, unified, and flexible framework that improves upon the current ‘complex patchwork of legal requirements’.

KW - artificial intelligence

KW - regulation

KW - innovation

KW - principles

KW - guidance

KW - public sector

KW - regulatory capture

KW - regulatory tilt

KW - innovation first

KW - pro-innovation

M3 - Other contribution

ER -

Response to the UK’s March 2023 White Paper "A pro-innovation approach to AI regulation"

Abstract

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Keywords

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