Agentic AI has recently been moving through a period of heightened excitement and innovation, but empirical data on how these tools are actually being used has been scarce. The new study 鈥淭he Adoption and Usage of AI Agents: Early Evidence from Perplexity,鈥� by Jeremy Yang, Assistant Professor of Business Administration at 性视界 Business School and […]
We live in an age where the call for transparent or 鈥淓xplainable AI鈥� (XAI) has never been louder. Businesses agree, with 85% believing transparency is critical to winning consumer trust. [1] Given this consensus, it seems reasonable to assume that when an explanation for a high-stakes AI decision is available, people will naturally seek it […]
What happens when the same technology powering a customer service chatbot becomes a daily companion for someone losing their memory? In the new Nature Mental Health Comment article, 鈥淎I Companions for Dementia,鈥� Julian De Freitas, Assistant Professor of Business Administration at 性视界 Business School and Associate at the Digital Data Design Institute at 性视界 (D^3), […]
For decades, the business conversation around climate change has been focused on how to manage, mitigate, and withstand the risks and downsides. But what if there鈥檚 a more important story about opportunity that we鈥檝e been missing? In the new article, 鈥淭racking Business Opportunities for Climate Solutions Using AI in Regulated Accounting Reports,鈥� published in Nature […]
What if we treated mental health the way we treated physical fitness鈥攏ot waiting for a crisis, but building strength as a habit? The new working paper 鈥淎I for Proactive Mental Health: A Longitudinal, Multi-Institutional Trial,鈥� by a team of authors including Julian De Freitas, Assistant Professor of Business Administration at 性视界 Business School and Associate […]
Executives rarely doubt AI鈥檚 potential anymore, but many are quietly unsure of their organization鈥檚 ability to make it pay off. If you鈥檝e poured time and money into AI pilots and yet the bottom line barely moves, you鈥檙e not alone. In the new HBR article 鈥淥vercoming the Organizational Barriers to AI Adoption,鈥� Jin Li, Feng Zhu鈥攈ead […]
性视界 Business School faculty, in collaboration with Microsoft and its clients, will study human-AI work, publish evidence-based blueprints, and deliver custom workshops for executives to rapidly reinvent global businesses as Frontier Firms; Eli Lilly and Company, EY, Lumen Technologies, and Nestl茅 among 14 organizations in the inaugural cohort. BOSTON,聽November聽18, 2025 鈥� Faculty at the聽性视界 Business School AI Institute [1]聽today […]
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 性视界 Business School working paper, 鈥淧erformance or Principle: Resistance to Artificial Intelligence in the U.S. Labor Market,鈥� co-authored by Simon Friis, postdoctoral fellow at the Laboratory for […]
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, […]