Frameworks and principles
Good practice for development and use
Strategies and roadmaps
The CAA’s strategy for Artificial Intelligence (AI)
Official policy proposals and consultations
Cyber security of AI: call for views
Artificial intelligence (AI) is transforming our daily lives. As the technology continues to evolve and be embedded, it is crucial…
Regulation and official guidance
Guidelines for secure AI system development
This document recommends guidelines for providers1 of any systems that use AI, whether those systems have been created from scratch…
Research and analysis item
Cyber Security for AI Recommendations
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
AI risk management framework
NIST is developing a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The…
Research and analysis item
A taxonomy and terminology of adversarial machine learning
This NIST Interagency/Internal Report (NISTIR) is intended as a step toward securing applications of Artificial Intelligence (AI), especially against adversarial…
Research and analysis item
From principles to practice: an interdisciplinary framework to operationalise AI ethics
Artificial intelligence (AI) increasingly pervades all areas of life. To seize the opportunities this technology offers society, while limiting its…
Research and analysis item
AI, human rights, democracy and the rule of law: a primer
Research and analysis item
Connected and automated vehicles: a review of the UK’s legislation and good practice
The white paper provides an overview of the CCAV Code of Practice (CoP): Automated Vehicle Trialling, BSI’s CAV standards programme,…
