Research and analysis item
Research and analysis item
Research and analysis item
AI and digital tools in workplace management and evaluation: An assessment of the EUās legal framework
This study focuses on options for regulating the use of AI enabled and algorithmic management systems in the world of…
Research and analysis item
Competition and data protection in digital markets: a joint statement between the CMA and the ICO 2021 (CMA, ICO)
Research and analysis item
The Bank of England and the Financial Conduct Authority launched the Artificial Intelligence Public-Private Forum (AIPPF) on 12 October 2020.
Research and analysis item
DP22/4: Artificial Intelligence
Research and analysis item
Bias in algorithms – Artificial intelligence and discrimination
Artificial intelligence is everywhere and affects everyone ā from deciding what content people see on their social media feeds to…
Research and analysis item
Better, broader, safer: using health data for research and analysis
Research and analysis item
Research Note: Machine learning in UK financial services 2022
Research and analysis item
Certification of Machine Learning Applications in the Context of Trustworthy AI with Reference to the Standardisation of AI Systems
We review the landscape of AI standards and certification and emphasise their role in the context of trustworthy AI. Third-party…
Research and analysis item
Strategic Research Agenda supporting the EMN Mathmet by addressing EURAMETās key priorities and challenges in mathematics and statistics in metrology
This document constitutes the Strategic Research Agenda (SRA) for the European Metrology Network for Mathematics and Statistics in Metrology (EMN…
Research and analysis item
Four principles of explainable artificial intelligence
We introduce four principles for explainable artiļ¬cial intelligence (AI) that comprise fundamental properties for explainable AI systems. We propose that…
Research and analysis item
Psychological foundations of explainability and interpretability in artificial intelligence
In this paper, we make the case that interpretability and explainability are distinct requirements for machine learning systems. To make…