A growing body of literature in fairness-aware ML (fairML) aspires to mitigate machine learning (ML)-related unfairness in automated decision making (ADM) by defining metrics that measure fairness of an ML model and by proposing methods that ensure that trained ML … Continued
In this current technological world, the application of machine learning is becoming ubiquitous. Incorporating machine learning algorithms on extremely low-power and inexpensive embedded devices at the edge level is now possible due to the combination of the Internet of Things … Continued
The dazzling promises of AI systems to augment humans in various tasks hinge on whether humans can appropriately rely on them. Recent research has shown that appropriate reliance is the key to achieving complementary team performance in AI-assisted decision making. … Continued
From Robots to Books: An Introduction to Smart Applications of AI in Education (AIEd) arxiv.org The world around us has undergone a radical transformation due to rapid technological advancement in recent decades. The industry of the future generation is evolving, … Continued
But as important as these effects are, the furor over ChatGPT points to something even more significant. In recent years, expertise with data collection and manipulation has all too often, in almost every area of human endeavour, been equated with … Continued
https://psyarxiv.com/jv6rb/ Abstract Algorithms are increasingly employed to provide highly accurate advice and recommendations across domains, yet in many cases people tend to prefer human advisors. Studies to date have focused mainly on the advisor’s perceived competence and the outcome of … Continued
We propose that individuals incorrectly interpret their accuracy in predicting an event as an indication that they understand the event’s underlying mechanism or process. We term this illusion prediction-comprehension bias (PCB) and conceptually locate it within the frameworks of attribute … Continued
Rapid technological advancements and global workforce aging shape the future of work. Drawing on the technology acceptance model, our study aims to connect the literature on aging with the research on technology use in organizations. At its heart, the technology … Continued
arxiv.org/pdf/2205.05682.pdf Human collaboration with systems within the Computational Creativity (CC) field is often restricted to shallow interactions, where the creative processes, of systems and humans alike, are carried out in isolation, without any (or little) intervention from the user, and … Continued
After-effects on cognition—where a prior activity either benefits or hinders subsequent cognitive performance—are empirically inconsistent. Do people have insight into when their subjective energy and cognition will be helped or hurt by engaging in prior activities? Studies 1a and 1b … Continued