In more and more situations, artificially intelligent algorithms have to model humans' (social) preferences on whose behalf they increasingly make decisions. They can learn these preferences through the repeated observation of human behavior in social encounters. In such a context, do...

Machines powered by Artificial Intelligence (AI) are now influencing the behavior of humans in ways that are both like and unlike the ways humans influence each other. In light of recent research showing that other humans can exert a strong corrupting influence on people’s ethical behavior,...

INTRODUCTION -- Chapter 1: Artificial Intelligence, Finance, and Sustainability: An Overview -- PART 1: CONCEPTUAL (INTEGRATIVE) FRAMEWORKS -- Chapter 2: A Panoramic Overview of the Opportunities and Challenges Artificial Intelligence Brings to ESG Investing -- Chapter 3: Measuring...

With Big Data, decisions made by machine learning algorithms depend on training data generated by many individuals. In an experiment, we identify the effect of varying individual responsibility for moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the...

With Big Data, decisions made by machine learning algorithms depend on training data generated by many individuals. In an experiment, we identify the effect of varying individual responsibility for moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the...

Evolution has been a constant source of inspiration to solve computational problems. In this paper, I use evolution to address issues of artificial morality instead of algorithmic computation. While understanding morality as a social software, I develop a theory of evolutionary morality of...