Jurisdiction(s):
United Kingdom

Responsible AI Governance: Principles on Impact, Bias, Explainability, Human Oversight, and Data Protection Compliance

Published by a LexisNexis Risk & Compliance expert

Precedents

1 Introduction

1.1 [ Insert organisation’s name ] acknowledges AI’s capacity to reshape our working methods and enhance the [ products and ] services we deliver.
1.2 We pledge to deploy AI safely and responsibly, upholding privacy, confidentiality, and the rights of third parties. This commitment extends to any AI operated by third parties for us.
1.3 As with many organisations, we increasingly rely on advanced analytics and technology to provide our [ products and ] services. These Principles explain how we employ AI in our operations. They rest on our dedication to corporate responsibility, which we describe as [ insert, eg the way we do business, working proactively to increase our positive impact and prevent negative impact ].
1.4 In general, we use ‘artificial intelligence’ to denote machine-based systems that infer answers to defined tasks with some autonomy. However, these Principles reach beyond AI, covering any machine-derived insights produced through systems and methods from the wider field of data science.
1.5 We already maintain strong policies and procedures that apply to AI...

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Web page updated on 22/05/2026

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