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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…
Topic:
DataData protectionData qualityEthical considerationsExplainability and transparencyGood practice for development and useOrganisational governanceRisk management
Domain:
Healthcare and medicine - ehealthFinancial services
Authors:
Daniel KrupkaNikolas Becker
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Organisation: Bank of England
Publication date: 17 Feb 2022
Topic:
DataData protection
Domain:
Financial services
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0 replies
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Organisation: Competition and Markets Authority
Publication date: 19 May 2021
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…
Topic:
Bias and discrimination
Domain:
Horizontal
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0 replies
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Organisation: European Union Agency for Fundamental Rights
Publication date: 8 Dec 2022
This document constitutes the Strategic Research Agenda (SRA) for the European Metrology Network for Mathematics and Statistics in Metrology (EMN Mathmet). The EMN Mathmet is an alliance of European National Metrology Institutes (NMIs), Designated Institutes (DIs) and an EMN Partner…
Topic:
Assurance and testingFormal verificationMeasurementRobustnessSystem qualityTrustworthy AI
Domain:
Horizontal
Authors:
Authored by members of the EMPIR Joint Network Project 18NET05 MATHMET
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Organisation: EMN Mathmet
Publication date: 1 Jan 2023
This joint Bank of England and FCA report presents findings and analysis of the 2022 machine learning (ML) in UK financial services survey.
Topic:
Adoption and commercialisationOrganisational governance
Domain:
Financial services
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Organisation: Financial Conduct Authority
Publication date: 15 Nov 2022
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…
Topic:
Standardisation for AI
Domain:
Horizontal
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Organisation: Oxford Information Labs
Publication date: 2 Dec 2021
Give feedback on how artificial intelligence may affect the objectives of the FCA, Bank of England and Prudential Regulation Authority.
Topic:
Adoption and commercialisationDataOrganisational governanceRisk managementSafetyTrustworthy AI
Domain:
Financial services
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Organisation: Financial Conduct Authority
Publication date: 11 Oct 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…
Topic:
DataData protection
Domain:
Financial services
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Organisation: Competition and Markets Authority
Publication date: 19 May 2021
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…
Topic:
Assurance and testingBias and discriminationSafetyStandardisation for AI
Domain:
HR, recruitment and employment
Authors:
Daniel KrupkaLeonie BeiningLukas MartinezNikolas BeckerPauline Junginger
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Organisation: ExamAI
Publication date: 26 Aug 2021
The Bank of England and the Financial Conduct Authority launched the Artificial Intelligence Public-Private Forum (AIPPF) on 12 October 2020.
Topic:
DataData protectionData qualityEthical considerationsExplainability and transparencyGood practice for development and useOrganisational governanceRisk management
Domain:
Financial services
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0 replies
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Organisation: Bank of England
Publication date: 17 Feb 2022

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