As AI systems increasingly outperform humans across a range of tasks, the economic logic seems clear: more capable, more cost-effective AI should lead to widespread automation. The new Harvard Business School working paper, “Performance of Principle: Resistance to Artificial Intelligence in the U.S. Labor Market,” co-authored by Simon Friis, postdoctoral fellow at the Laboratory for […]
Imagine you’ve 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’t a hypothetical […]
Will artificial intelligence widen the gap between your best and worst performers, or will it be the great equalizer? A new paper, “Automation Experiments and Inequality,” from Kyle Myers, Principal Investigator at the Laboratory for Innovation Science at Harvard (LISH) within the Digital Data Design Institute at Harvard (D^3), and Seth Benzell at Chapman University, […]
Picture this: you receive a well-crafted, deeply understanding message about a personal struggle you’ve 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’ 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’t 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 “Emotional Manipulation by AI Companions,” 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 “Why Can’t […]
Have you ever received a response from ChatGPT that seems to get you almost too well? A recent preprint review of research, “AI-Generated Empathy: Opportunities, limits, and future directions,” written by a team including Amit Goldenberg, faculty principal investigator in the Digital Emotions Lab at the Digital Data Design Institute at Harvard (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, “Advancing science- and evidence-based AI policy,” a multidisciplinary group of experts, including Himabindu Lakkaraju, Assistant Professor of Business Administration at Harvard 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 […]
