We use some essential cookies to make this website work.
We’d like to set additional cookies to understand how you use GOV.UK, remember your settings and improve government services.
We also use cookies set by other sites to help us deliver content from their services.
You have accepted additional cookies. You can change your cookie settings at any time.
You have rejected additional cookies. You can change your cookie settings at any time.
Departments, agencies and public bodies
News stories, speeches, letters and notices
Detailed guidance, regulations and rules
Reports, analysis and official statistics
Consultations and strategy
Data, Freedom of Information releases and corporate reports
Find out what AI assurance is and what AI assurance techniques you can use in your organisation.
Aival Evaluate reports the performance, fairness, robustness and explainability of AI products under consideration on a user’s data, enabling comparison along the same baseline.
Generative AI such as Large Language Models (LLMs) with retrieval augmented generation (RAG) architecture have potentially transformative use cases in the Fintech domain of banking APIs. This case study focuses on these AI u…
A global provider of reinsurance used Credo AI’s platform to produce standardised algorithmic bias reports to meet new regulatory requirements and customer requests.
A facial recognition service provider used Credo AI’s platform to provide transparency on fairness and performance evaluations of its identity verification service to its customers.
The Linear Infrastructure Planning Panel was established in March 2023 to develop good practice in the use of new technologies like AI in the planning of the major infrastructure critical for the delivery of national goals s…
Lumenova AI's AI Governance, Risk Management, and Compliance Platform aims to simplify and streamline AI risk management, providing complete visibility on AI models and ensuring consistent adherence to the latest regula…
NayaOne is a Sandbox-as-a-Service provider to tier 1 financial services institutions, world-leading regulators, and governments.
Oliver Wyman's AI validation framework demonstrates how a rigorous validation framework can be executed efficiently in practice.
PySyft allows model owners to load information concerning production AI algorithms into a server, where an external researcher can send a research question without ever seeing the information in that server.
Weights & Biases provides an MLOps platform to help organisations gain auditable and explainable end-to-end machine learning workflows for reproducibility and governance.
This case study explores how national security bodies can effectively evaluate AI systems designed and developed, at least in part, by industry suppliers, before they are deployed in high stakes national security environment…
A system-level AI Impact Assessment (AIIA), developed by the Responsible Artificial Intelligence Institute (RAI Institute), informs the broader assessment of AI risks and risk management.
Credo AI's Policy Pack for NYC LL-144 encodes the law’s principles into actionable requirements and adds a layer of reliability and credibility to compliance efforts.
The CDEI has published a report detailing the findings from the third wave of its Public Attitudes Tracker Survey, which monitors how attitudes towards data and AI vary over time.
The Centre for Data Ethics and Innovation (CDEI) is now called the Responsible Technology Adoption Unit (RTA), part of the Department for Science, Innovation and Technology (DSIT). Content from RTA can be found on DSIT’s GOV…
The Centre for Data Ethics and Innovation (CDEI) is changing its name to the Responsible Technology Adoption Unit (RTA) to more accurately reflect its mission.
Armilla Verified is Armilla’s third-party verification of AI-powered products. It empowers AI vendors and enterprises alike to assure the quality and reliability of their AI solutions.
A case study of Dutch neobank Bunq and ML Ops start-up Deeploy
Case study from Sheffield Hallam University.
Don’t include personal or financial information like your National Insurance number or credit card details.
To help us improve GOV.UK, we’d like to know more about your visit today. We’ll send you a link to a feedback form. It will take only 2 minutes to fill in. Don’t worry we won’t send you spam or share your email address with anyone.