These guidelines identify some of the most relevant compliance challenges regarding use of virtual voice assistant (VVA) and provide recommendations to relevant stakeholders on how to address them.
artificial intelligence
ENISA’s study takes a methodological approach at mapping the key players and threats in AI.
This study examines the feasibility and potential elements of a legal framework for the development, design and application of artificial intelligence.
This publication analyses the challenges arising from AI systems and possible regulatory responses.
This report provides an in-depth overview of the social, political and economic urgency in identifying what we call the ‘new surveillance workplace’.
The report discusses the potential implications for fundamental rights and analyses how such rights are taken into account when using or developing AI applications.
The report provides law enforcers, policymakers and other organisations with information on existing and potential attacks leveraging AI and recommendations on how to mitigate these risks.
The paper is aimed as contribution to improve the understanding of the evolution and the role AI and Digital Trade are playing and will play in the EU, in developed and developing countries. The study addresses, among other things, the adoption and diffusion of AI technologies, the importance of data for digital applications and its economic impact, and international trade rules, data flows, computing resources, and AI.
A clear and coherent EU civil liability regime for AI has the potential to reduce risks and increase safety, decrease legal uncertainty and related legal and litigation costs, and enhance consumer rights and trust. Those elements together could facilitate the faster and arguably safer uptake and diffusion of AI. Member States have not yet adopted […]
This discussion paper looks at the implications of big data, artificial intelligence (AI) and machine learning for data protection, and explains the ICO’s views on these