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UK Government Publishes Response to Consultation on AI Regulation White Paper

Hunton Privacy

On February 6, 2024, the UK government published a response to the consultation on its AI Regulation White Paper, which the UK government originally published in March 2023. A 12-week consultation on the White Paper was then held and this response summarizes the feedback and proposed next steps.

Paper 67
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UK government’s response to AI White Paper consultation: next steps for implementing the principles

Data Protection Report

The authors acknowledge the assistance of Salma Khatab, paralegal, in researching and preparing some aspects of this blog The UK Department for Science, Innovation, and Technology (DSIT) has published its response to its consultation on its white paper, ‘A pro innovation approach to AI regulation ’ (the Response).

Paper 64
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UK: Information Commissioner publishes response to new AI White Paper

DLA Piper Privacy Matters

Authors: Coran Darling and Rachel De Souza On 29 March 2023, the UK Government (“ Government ”) published its long-awaited white paper (“ Paper ”), setting out the Government’s proposals to govern and regulate artificial Intelligence (“ AI ”).

Paper 52
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National AI Strategy: The UK Government Publishes Its Artificial Intelligence Strategy for the Next Decade

Data Matters

On 22 September 2021, the UK Government (the “ Government ”) published its Artificial Intelligence (“ AI ”) strategy. The paper outlines the Government’s plan to make Britain a “global superpower” in the AI arena, and sets out an agenda to build the most “pro-innovation regulatory environment in the world”.

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5 key areas for governments to responsibly deploy generative AI

IBM Big Data Hub

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Only by doing so can governments establish themselves as trustworthy stewards. It helps to ensure consistent outputs.

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The Future of RegTech for AI Governance

IBM Big Data Hub

Central to putting these principles into practice is establishing the appropriate governance mechanisms for AI systems. AI governance will require an agile approach. Integrating RegTech into broader AI governance process. Case studies on OpenPages: Using RegTech for AI governance.

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IBM’s dedication to responsible computing

IBM Big Data Hub

In an era where technology is pivotal in shaping politics, digital economies and transitional industries (e.g., the automotive industry), the Responsible.Computing() framework expands beyond just sustainability and climate change and adds other domains, such as ethics, security and openness.