Significance Many bad decisions and their devastating consequences could be avoided if people used optimal decision strategies. Here, we introduce a principled computational approach to improving human decision making. The basic idea is to give people feedback on how they … Continued
Many important decisions in daily life are made with the help of advisors, e.g., decisions about medical treatments or financial investments. Whereas in the past, advice has often been received from human experts, friends, or family, advisors based on artificial … Continued
In recent years there has been a resurgence of descriptive research that seeks to document, describe, and analyze the conditions under which infants and children learn in a variety of natural settings. Descriptive developmental research enhances fundamental understanding and facilitates … Continued
Artificial Intelligence (AI) is increasingly used to build Decision Support Systems (DSS) across many domains. This paper describes a series of experiments designed to observe human response to different characteristics of a DSS such as accuracy and bias, particularly the … Continued
“Everyone is biased,” is a mostly vacuous truism. It may be literally true in some superficial sense, but this is entirely useless with respect to figuring which claims made by which person or scientist are valid or not. Clearly, some … Continued
Titles of scientific papers pay a key role in their discovery, and “good” titles engage and recruit readers. A particularly interesting aspect of title construction is the use of humour, but little is known about whether funny titles boost or limit … Continued
Using the concept of principal stratification from the causal inference literature, we introduce a new notion of fairness, called principal fairness, for human and algorithmic decision-making. The key idea is that one should not discriminate among individuals who would be … Continued
http://christopherbuckley.org/blog/why-successful-children-dont-innovate-an-evolutionary-perspective ‘Innovation’ has become something of a mantra, particularly amongst business elites and educators. We are surrounded by the results of innovation (novel technologies). It is regarded (rightly) as one of the distinguishing characteristics of our species: the ability to … Continued
As AI-enhanced technologies become common in a variety of domains, there is an increasing need to define and examine the trust that users have in such technologies. Given the progress in the development of AI, a correspondingly sophisticated understanding of … Continued
Trust is often cited as an essential criterion for the effective use and real-world deployment of AI. Researchers argue that AI should be more transparent to increase trust, making transparency one of the main goals of XAI. Nevertheless, empirical research … Continued