While a lot of research in explainable AI focuses on producing effective explanations, less work is devoted to the question of how people understand and interpret the explanation. In this work, we focus on this question through a study of … Continued
Natalie shared this article the other day, and I wanted to highlight a few ideas… This discussion of the practical aspects of teaching computational social science comes with two caveats. First, a computational social science project should start with a … Continued
Since Wing’s (2006) article regarding computational thinking, there has been a dramatic increase in the focus on computational thinking (CT) in K-12 education. Computational thinking has permeated across K-12 classrooms, particularly at the elementary level. In a review of the … Continued
(Read this first) MIT News short description: https://news.mit.edu/2022/ai-predictions-human-trust-0119 Expert decision makers are starting to rely on data-driven automated agents to assist them with various tasks. For this collaboration to perform properly, the human decision maker must have a mental model … Continued
We presented participants with lecture videos at different speeds and tested immediate and delayed (1 week) comprehension. Results revealed minimal costs incurred by increasing video speed from 1x to 1.5x, or 2x speed, but performance declined beyond 2x speed. We also … Continued
There had never been a time like this before in the history of Artificial Intelligence (AI) where AI was this democratic and celebrated. With the advent of deep learning, big data, and high-performance computing, things that seemed impossible just a decade ago can now … Continued
Although artificial intelligence (AI) has many potential benefits, it has also been shown to suffer from a number of challenges for successful performance in complex real-world environments such as military operations, including brittleness, perceptual limitations, hidden biases, and lack of a … Continued
Conversational artificial intelligence (ConvAI) systems have attracted much academic and commercial attention recently, making significant progress on both fronts. However, little existing work discusses how these systems can be developed and deployed for social good in real-world applications, with comprehensive … Continued
AI and humans bring complementary skills to group deliberations. Modeling this group decision making is especially challenging when the deliberations include an element of risk and an exploration-exploitation process of appraising the capabilities of the human and AI agents. To … Continued
While the demand for ethical artificial intelligence (AI) systems increases, the number of unethical uses of AI accelerates, even though there is no shortage of ethical guidelines. We argue that a possible underlying cause for this is that AI developers … Continued