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This joint Bank of England and FCA report presents findings and analysis of the 2022 machine learning (ML) in UK financial services survey.
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Organisation: Financial Conduct Authority
Publication date: 11 Jan 2026
The draft EU AI Regulation is a far-reaching attempt to provide a regulatory foundation for the safe, fair, and innovative development of Artificial Intelligence in the European Union and is likely to have consequences across the globe. An important feature…
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Organisation: Oxford Information Labs
Publication date: 12 Feb 2021
Give feedback on how artificial intelligence may affect the objectives of the FCA, Bank of England and Prudential Regulation Authority.
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Organisation: Financial Conduct Authority
Publication date: 10 Nov 2022
The Competition and Markets Authority (CMA) and the Information Commissioner’s Office (ICO) have published a joint statement that sets out their shared views on the relationship between competition and data protection in the digital economy. The statement sets out: • the…
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Organisation: Competition and Markets Authority
Publication date: 11 Jan 2026
Artificial intelligence is everywhere and affects everyone – from deciding what content people see on their social media feeds to determining who will receive state benefits. AI technologies are typically based on algorithms that make predictions to support or even…
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Organisation: European Union Agency for Fundamental Rights
Publication date: 12 Aug 2022
Professor Ben Goldacre’s review into how the efficient and safe use of health data for research and analysis can benefit patients and the healthcare sector.
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Organisation: Department of Health and Social Care
Publication date: 4 Jul 2022
The use of artificial intelligence (AI) and AI methods in the workplace holds both great opportunities as well as risks to occupational safety and discrimination. In addition to legal regulation, technical standards will play a key role in mitigating such…
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Organisation: ExamAI
Publication date: 11 Jan 2026
This report was commissioned to (1) inform policy makers and regulatory stakeholders about noteworthy approaches to AI risk assessment, including leading practices, and (2) to inform rulemaking on AI risk assessment. The survey covers: legal and regulatory approaches, current work…
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Organisation: Ernst & Young Trilateral Research
Publication date: 11 Jan 2026
NIST has released a plan for prioritizing federal agency engagement in the development of standards for artificial intelligence (AI). The plan recommends the federal government ā€œcommit to deeper, consistent, long-term engagement in AI standards development activities to help the United…
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Organisation: National Institute of Standards and Technology
Publication date: 8 Sep 2019
The artificial intelligence (AI) revolution is upon us, with the promise of advances such as driverless cars, smart buildings, automated health diagnostics and improved security monitoring. Many current efforts are aimed to measure system trustworthiness, through measurements of Accuracy, Reliability,…
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Organisation: National Institute of Standards and Technology
Publication date: 3 Feb 2021