Manipulation is a concern in many domains, such as social media, advertising, and
chatbots. As AI systems mediate more of our digital interactions, it is important to understand …

Following the success of deep learning (DL) in research, we are now witnessing the fast and
widespread adoption of artificial intelligence (AI) in daily life, influencing the way we act …

This paper focuses on the opportunities and the ethical and societal risks posed by
advanced AI assistants. We define advanced AI assistants as artificial agents with natural …

Despite large progress in Explainable and Safe AI, practitioners suffer from a lack of
regulation and standards for AI safety. In this work we merge recent regulation efforts by the …

This paper introduces time-based addiction, which refers to excessive engagement in an
activity that results in negative outcomes due to the misallocation of time. This type of …

Iterative machine learning algorithms used to power recommender systems often change
people's preferences by trying to learn them. Further a recommender can better predict what …

This article aims to provide a theoretical account and corresponding paradigm for analysing
how explainable artificial intelligence (XAI) influences people's behaviour and cognition. It …

This study examines the effectiveness of a novel personalization approach for persuasive
and behavior change systems: time loss aversion. Focusing on time instead of money, it …

The use of machine learning, or 'artificial intelligence'(AI) in medicine is widespread and
growing. In this paper, I focus on a specific proposed clinical application of AI: using models …

Driven by the growing integration of Artificial Intelligence (AI) into daily work, this study
investigates the Human-Intelligent Personal Assistants (IPAs) coregulation of work-life …