Internet-connected consumer devices have rapidly increased in popularity; however, relatively little is known about how these technologies are affecting interpersonal relationships in multi-occupant households. In this study, we conduct 13 semi-structured interviews and survey 508 individuals from a variety of … Continued
In his book “How to stay smart in a smart world: Why human intelligence still beats algorithms,” Gerd Gigerenzer (2022) opposes the predominantly positive perspective on AI development with a plea for the uniqueness of the human intellect. He misses … Continued
Abstract Writing a thesis, a research proposal or a paper is a complex effort involving numerous decisions. Despite the differences between social science disciplines and the specific traditions in these disciplines, students tend to come up with similar problems during … Continued
Abstract Voice assistants (VAs) like Amazon Alexa have been integrated into hundreds of millions of homes, despite persistent public distrust of the company. The current literature explains the spread of voice assistants despite the low levels of trust in big … Continued
In the media, in policy-making, but also in research articles, algorithmic decision-making (ADM) systems are referred to as algorithms, artificial intelligence, and computer programs, amongst other terms. We hypothesize that such terminological differences can affect people’s perceptions of properties of ADM … Continued
Computational power and digital data have created new opportunities to explore and understand the social world. A special synergy is possible when social scientists combine human attention to certain aspects of the problem with the power of algorithms to automate … Continued
Details of the designs and mechanisms in support of human-AI collaboration must be considered in the real-world fielding of AI technologies. A critical aspect of interaction design for AI-assisted human decision making are policies about the display and sequencing of … Continued
Numerous AI ethics checklists and frameworks have been proposed focusing on different dimensions of ethical AI such as fairness, explainability, and safety. Yet, no such work has been done on developing transparent AI systems for real-world educational scenarios. This paper … Continued
Recent work has shown the potential benefit of selective prediction systems that can learn to defer to a human when the predictions of the AI are unreliable, particularly to improve the reliability of AI systems in high-stakes applications like healthcare … Continued
Private companies, public sector organizations, and academic groups have outlined ethical values they consider important for responsible artificial intelligence technologies. While their recommendations converge on a set of central values, little is known about the values a more representative public … Continued