The ubiquity of systems using artificial intelligence or" AI" has brought increasing attention to
how those systems should be regulated. The choice of how to regulate AI systems will …

The quest to explain the output of artificial intelligence systems has clearly moved from a
mere technical to a highly legally and politically relevant endeavor. In this paper, we provide …

Executive summary In the light of the recent advances in artificial intelligence (AI), the
challenges posed by its use in an everincreasing number of areas have serious implications …

Decision-making algorithms are being used in important decisions, such as who should be
enrolled in health care programs and be hired. Even though these systems are currently …

Can satisfactory explanations for complex machine learning models be achieved in high-risk
automated decision-making? How can such explanations be integrated into a data …

1 In light of AI's growing impact on society, there is broad agreement that those who
regulate, employ or are affected by AI-based systems should have an adequate …

There is widespread agreement that there should be a principle requiring that artificial
intelligence (AI) be 'explicable'. Microsoft, Google, the World Economic Forum, the draft AI …

The proposed EU regulation for Artificial Intelligence (AI), the AI Act, has sparked some
debate about the role of explainable AI (XAI) in high-risk AI systems. Some argue that black …

The development of “intelligent” systems that can take decisions and perform autonomously
might lead to faster and more consistent decisions. A limiting factor for a broader adoption of …

The recent enthusiasm for artificial intelligence (AI) is due principally to advances in deep
learning. Deep learning methods are remarkably accurate, but also opaque, which limits …