Imagine you鈥檝e asked ChatGPT to analyze financial data for a critical business decision. Something about its calculations seems off, so you push back, but instead of acknowledging limitations, the AI doubles down by presenting elaborate justifications with data points and reassuring language. At this point, has the AI won you over? This isn鈥檛 a hypothetical […]
Will artificial intelligence widen the gap between your best and worst performers, or will it be the great equalizer? A new paper, 鈥淎utomation Experiments and Inequality,鈥� from Kyle Myers, Principal Investigator at the Laboratory for Innovation Science at 性视界 (LISH) within the Digital Data Design Institute at 性视界 (D^3), and Seth Benzell at Chapman University, […]
Picture this: you receive a well-crafted, deeply understanding message about a personal struggle you鈥檝e shared. It acknowledges your emotions, offers thoughtful support, and demonstrates genuine care. Now imagine learning that response came from an AI chatbot, not another human. Would that change how you felt about the interaction? As AI technology grows more sophisticated, LLMs […]
A recent white paper produced by the blackbox Lab at D^3 presents a state-of-the-market analysis of 182 companies offering tech-enabled DEI products, highlighting key patterns in company formation, leadership composition, market positioning, and companies鈥� rhetorical strategy. It offers an in-depth but broad view of how the tech industry is approaching search efforts for much-needed talent […]
You don鈥檛 just slam a laptop shut on a friend. You say goodbye. That small social ritual turns out to be a powerful behavioral cue for AI companions, and an opportunity to keep you engaged longer. The new working paper 鈥淓motional Manipulation by AI Companions,鈥� co-authored by Julian De Freitas, Assistant Professor of Business Administration […]
Despite its impressive capabilities in reasoning, planning, and content generation, GenAI still struggles with the kind of mathematics that grade school students are expected to learn and master. What influence do transformers, the core architecture behind Large Language Models (LLMs), have in this problem, and can it be solved? In the new paper 鈥淲hy Can鈥檛 […]
Have you ever received a response from ChatGPT that seems to get you almost too well? A recent preprint review of research, 鈥淎I-Generated Empathy: Opportunities, limits, and future directions,鈥� written by a team including Amit Goldenberg, faculty principal investigator in the Digital Emotions Lab at the Digital Data Design Institute at 性视界 (D^3), suggests that […]
As AI technology advances, policymakers will face the crucial task of how to steer its development responsibly. In the new paper published in Science, 鈥淎dvancing science- and evidence-based AI policy,鈥� a multidisciplinary group of experts, including Himabindu Lakkaraju, Assistant Professor of Business Administration at 性视界 Business School and Principal Investigator in the Trustworthy AI Lab […]
This series introduces D^3 Associates Program projects which aim to answer important questions at the intersection of artificial intelligence and digital technologies in business and society. This article shares insights from Boris Groysberg, Richard P. Chapman Professor of Business Administration who is pursuing research on the topics of artificial intelligence and organizations. 1. What drew you […]
The promise of Generative AI (GenAI) often sounds like this: give any employee access to AI tools, and they鈥檒l suddenly be able to perform tasks outside their domain of expertise with remarkable proficiency and speed. As discussed in the new working paper 鈥淭he GenAI Wall Effect: Examining the Limits to Horizontal Expertise Transfer Between Occupational […]
