AI
AI Evaluations Look Unbiased Without Being Fair
New research by Prof. Tristan Botelho and PhD student Qingyang Wang finds that LLMs avoid overt discrimination when evaluating candidates but still rely on racial and gender cues.
Will AI Eliminate Jobs or Create New Ones? Probably Both.
When AI tools allow a task to be automated, found Yale SOM’s Menaka Hampole and her co-authors, it fades from job descriptions. But that often frees workers to focus elsewhere, while helping firms become more productive and expand their workforces.
Slowing Frontier AI Won’t Hold Back the AI Economy
Yale SOM’s Jeffrey Sonnenfeld, computer scientist and entrepreneur David Siegel, and co-author Stephen Henriques write that corporate adoption of AI is already years behind the technological frontier, so giving AI developers more time to make advanced systems safer and more trustworthy would do little to impede economic growth—and could make companies more confident about deploying them.
How Communities Can Get a Better Deal from Data Centers
Yale SOM’s Jeffrey Sonnenfeld, computer scientist and entrepreneur David Siegel, and co-author Stephen Henriques argue that the growing backlash against data centers should lead to stronger protections and enforceable community benefits—not an end to the AI infrastructure boom.
Who Trains Junior Employees in the Age of AI?
AI is best at exactly the entry-level work that used to turn novices into experts. Professor K. Sudhir writes that organizations will need to find new ways to build the skills and judgment that junior employees once developed by doing those tasks themselves.
How Much Is Crawling Your Content Worth to an AI Bot?
A new study co-authored by Yale SOM’s Soheil Ghili proposes a scalable way for AI companies to pay publishers for crawling their content—and help sustain the information ecosystem that powers the technology.
Will Banning Personalized Pricing Work?
With AI making it easier for businesses to tailor prices to individual customers, Maryland recently became the first state to prohibit the use of personal data in setting prices. We asked Yale SOM economist Jidong Zhou whether such restrictions are likely to work as intended—and whether they will benefit consumers.
A Guide to Getting Agentic AI Right
Yale’s Jeffrey Sonnenfeld and coauthors present a framework for determining when and how to effectively deploy agentic AI.
The Real Job Destruction from AI Is Hitting Before Careers Can Start
Yale’s Jeffrey Sonnenfeld and his co-authors say that the impact of AI can be seen among recent college graduates, who are finding it harder and harder to get that first job. With no entry to the workforce, how will younger people develop the skills and wisdom to lead in the future?
A Machine-Learning Model Can Help Reunite Long-Separated Families
Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a machine-learning approach could cut years off family reunification efforts by matching imperfect, self-reported memories from parents and children.
AI Monopolists Could Be a Disaster for Workers
If artificial intelligence reshapes production across the entire economy, it could drive the cost of goods toward zero. But Yale SOM economist Fiona Scott Morton argues that if AI is captured by a small number of powerful firms, falling wages could coincide with persistently high prices, leaving workers far worse off.
