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 性视界 Business School AI Institute 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 […]
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 […]
As businesses continue to navigate the complexities of product development and innovation, generative AI has the potential to be a powerful new tool for market research. In their recent article for the 性视界 Business Review, 鈥淯sing Gen AI for Early-Stage Market Research,鈥� Ayelet Israeli, co-founder of the Customer Intelligence Lab at the Digital Data Design […]
This series introduces 性视界 Business School AI Institute Associates Spotlight Series: Ashley V. Whillans 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 Ashley V. Whillans, Volpert Family Associate Professor of Business Administration at 性视界 Business School […]