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Data and AI

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.

An abstract illustration show human figures looking at each other
  • 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.

    An illustration of a robotic Monopoly man running across a cityscape with a bag of money
  • How Innovations in Understanding Everyday Data Can Power More Effective Aid

    For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records to identify the poorest households—faster and at far lower cost than traditional surveys.

    An aid station in a refugee camp
  • Our Most-Read Stories of 2025

    This year, our faculty and alumni provided expertise on pressing issues including political polarization, sports gambling, tariffs, public education, the business of the arts, and the seismic impact of AI.

    A collage of photos and illustrations
  • When AI Learns the Why, It Becomes Smarter—and More Responsible

    A new Yale SOM study finds that training generative AI to understand why headlines resonate—not just which perform best—reduces clickbait and produces more engaging, trustworthy content, pointing to a more responsible approach for AI design.

    An illustration of a robot looking out a window in the rain
  • Are AI Chatbots Changing How We Shop?

    What does shopping with an AI assistant change for consumers—and for the sellers and advertisers trying to reach them? We asked Yale SOM economist Jidong Zhou.

    A photo of a toy robot with a shopping cart
  • The Top Ten AI Competitors

    The mammoth investments pouring into artificial intelligence companies are remaking the high-tech industry. Former SOM Dean Ted Snyder and investor Logan Bender ’19 assess which leading companies are likely to keep their advantage and which could be crushed by the rolling wave of innovation.

    A person using a smartphone showing apps from many AI companies
  • Art Gallery: Getting to Know Our Robot Friends

    A collection from illustrator Sean David Williams, who has helped Yale Insights explain the rise of AI with a troupe of cheery robots.

    An illustration of a robot greeting an office worker drinking coffee
  • AI Is Getting Smarter—and Less Reliable

    Yale SOM’s Jeffrey Sonnenfeld and author Joanne Lipman write that popular chatbots have proven susceptible to manipulation, groupthink, and hallucination.

    A toy robot lying on its side
  • Can Mark Zuckerberg Spend His Way to AI Success?

    Meta has lured a string of top researchers from rivals with nine-figure pay packages in an effort to close the gap with AI leaders like OpenAI, Anthropic, and Google. But splashy hires rarely end up rescuing flailing enterprises, write Yale SOM leadership expert Jeffrey Sonnenfeld and co-author Steven Tian.

    Mark Zuckerberg demoing Meta's augmented reality glasses
  • What Happened When Five AI Models Fact-Checked Trump

    President Donald Trump is an AI booster, write Yale SOM’s Jeffrey Sonnenfeld and co-authors Stephen Henriques and Steven Tian. So they thought it was fair to ask the leading chatbots to evaluate some of Trump’s frequently repeated claims.

    Sam Altman of OpenAI speaking at the White House