A Framework for Responsible AI

This interactive policy explorer outlines the Thames Valley AI Hub's comprehensive framework for fostering innovation while upholding the highest ethical standards in Artificial Intelligence.

Executive Summary

The Hub's AI policy is driven by a commitment to responsible AI, recognizing both its transformative potential and the critical need for robust governance. Informed by an extensive review of global strategies, this framework is built on ten guiding principles and details specific requirements for governance, the ethical AI lifecycle, and responsible use. It aims to position the Thames Valley AI Hub as a leader in the ethical and effective advancement of AI.

Our Guiding Principles

These ten principles form the ethical compass for all AI activities within the Hub. Click on any principle to learn more about its meaning and practical implications.

Policy in Practice

Explore how our principles are translated into actionable policies for governance, the AI development lifecycle, and defining risk levels for AI applications.

AI Governance & Accountability

Effective governance structures are essential for oversight. Our model includes a dedicated Ethics Committee and a risk management framework based on the NIST AI RMF to ensure accountability.

Key Roles & Responsibilities

  • AEC
    AI Ethics Committee (AEC)

    A multidisciplinary body to oversee policy, provide guidance, and review high-risk projects.

  • DS
    Data Stewards

    Responsible for data quality, representativeness, privacy, and ethical sourcing.

  • P
    Practitioners & Leads

    Accountable for project compliance, risk assessments, and documentation.

NIST AI Risk Management Framework

We adopt the NIST AI RMF cycle to manage risks. Click each step to learn more.

Global Policy Context

Our policy is informed by a wide range of global standards. This chart compares the focus areas of AI policies across different sectors. Select sectors to compare their approaches.

Note: Scores are derived from qualitative analysis of policy documents, representing the emphasis placed on each theme (5=High, 1=Low).

Key Recommendations

To operationalize this framework, we recommend the following key actions to solidify the Hub's position as a leader in responsible AI.