Understanding the Data Flows and Privacy Risks of Brain-Computer Interfaces.
artificial intelligence
Framework addresses the need for a set of concrete guidelines to ensure the trustworthy and safe use of this technology.
New toolkit launched to help organisations using AI to process personal data understand the associated risks and ways of complying with data protection law.
This paper outlines the spectrum of AI technology, from rules-based and symbolic AI to advanced, developing forms of neural networks.
These guidelines provide a set of reference measures that should be applied to ensure that this technology does not adversely affect the human rights.
This panel will delve into recent EU decisions and the on-going challenges in the relationship between GDPR and facial recognition.
The present paper aims at providing more information on the context and way AI is developed and used in the banking sector.
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.
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.