Rapid advancements in artificial intelligence (AI) have driven interest in its potential application for lie detection. Unfortunately, the current approaches have primarily focused on technical aspects at the expense of a solid methodological and theoretical foundation. We discuss the implications thereof and offer recommendations for the development and regulation of AI-based deception detection. Read Full […]

In a recent paper, Aceves and Evans computed information and semantic density measures for hundreds of languages, and showed that these measures predict the pace and breadth of ideas in communication. Here, we summarize their key findings and situate them in a broader debate about the adaptive nature of language. Read Full Article (External Site) […]

Recent work in vision science and visual neuroscience has moved away from focusing on single people or objects to understanding the relations between them. Based on converging behavioral, computational, and neuroscience evidence, we recently argued that the visual system contains rich, abstract representations of social interactions between others [1]. We also outlined a framework for […]