osf.io Abstract Universities are knowledge institutions. Compared to several other knowledge institutions (e.g., think tanks, schools, government research organisations), universities have unusual, anarchic organisational features. We argue that such anarchic features are not necessarily a weakness. Rather, they reflect the … Continued
When performing a task alone, humans achieve a certain level of performance. When humans are assisted by a tool or automation to perform the same task, performance is enhanced (augmented). Recently developed cognitive systems are able to perform cognitive processing … Continued
The goal of the present paper is to develop and validate a questionnaire to assess AI literacy. In particular, the questionnaire should be deeply grounded in the existing literature on AI literacy, should be modular (i.e., including different facets that … Continued
People often consider counterfactual events that did not happen, and some counterfactuals seem so close to actual events that they are described as aspects of reality. In five pre-registered experiments (N = 1195), we show there are two kinds of … Continued
AI-mediated communication is designed to help us do our work more quickly and efficiently. But does it come at a cost? This study uses smart replies (SRs) to show how AI influences humans without any intent on the part of … Continued
We show how to assess a language model’s knowledge of basic concepts of morality. We introduce the ETHICS dataset, a new benchmark that spans concepts in justice, well-being, duties, virtues, and commonsense morality. Models predict widespread moral judgments about diverse … Continued
Abstract Near-peer and peer-to-peer teaching are powerful, scalable sources of instruction, but translating the necessary teacher training to the same scale is difficult. Inadequate preparation can negatively impact both students and teachers– what if there were a way to expand … Continued
This paper stresses the importance of biases in the field of artificial intelligence (AI) in two regards. First, in order to foster efficient algorithmic decision-making in complex, unstable, and uncertain real-world environments, we argue for the structurewise implementation of human … Continued
osf.io Abstract We use the myth of Pygmalion as a lens to investigate and frame the relationship between women and artificial intelligence (AI). Pygmalion was a legendary ancient king of Cyprus and sculptor. Having been repulsed by women, he used … Continued
A Human-Centered Review of Algorithms in Decision-Making in Higher Education arxiv.org The use of algorithms for decision-making in higher education is steadily growing, promising cost-savings to institutions and personalized service for students but also raising ethical challenges around surveillance, fairness, … Continued