AI
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.
Can AI Make Economic Predictions by Reading the Newspaper?
In a new study, a team led by Yale SOM researchers devised a way to distill the text of the Wall Street Journal into numerical indicators, which could help policymakers predict how the business cycle will unfold over the coming months and years.
Is Elon Musk Right about the Bot Problem on Twitter?
Elon Musk’s attempt to buy Twitter has turned into a battle over the prevalence of bot accounts on the platform. We asked Prof. Tauhid Zaman, who has studied the impact of bots, how much they skew the experience of Twitter users.
To Shift Opinions in Online Conversations, Start by Building Trust
New research from Yale SOM’s Tauhid Zaman suggests that starting by establishing common ground makes it possible to make connections and even change some minds.
Now It’s Personal: How Knowing an Ad Is Targeted Changes Its Impact
A consumer’s knowledge that an advertisement has been tailored to their interests changes how they respond, according to a new study co-authored by Yale SOM’s Jiwoong Shin. Firms evaluating marketing strategies should factor consumers’ inferences about targeted ads into their advertising decisions, Shin says.
Can We Protect Our Election from the Bots?
More than 50,000 Russia-linked bots were active on Twitter during the 2016 election. Are they back? We talked with Prof. Tauhid Zaman, who has carried out a series of studies identifying bot networks and assessing their impact.
Machine Learning Model Extracts Insights from Customer Reviews
A new study co-authored by Yale SOM’s K. Sudhir uses natural-language analysis to learn from what customers are saying—and to infer meaning from what remains unsaid.
Online and Off, We Are Drawn Toward Those with Similar Writing Styles
Both online and in-person friendships are more likely to develop between people who have similar linguistic styles, according to a new study co-authored by Balázs Kovács at Yale SOM.
Can Big Data Fight a Pandemic?
The COVID-19 crisis has intensified the debate over big data and privacy. Governments are pulling together data from public and private systems in order to predict and counter the spread of COVID-19. But setting aside privacy protections in a time of crisis could lead to new, permanent norms.
Are Electronic Health Records Useful Yet?
The story of EHRs serves as a prelude to what we’re experiencing today in almost every facet of our lives: a utopian promise of ubiquitous data tempered by technical challenges and concerns over privacy.
How Machine Learning Can Find Extremists on Social Media
Yale SOM's Tauhid Zaman investigated how artificial intelligence could assist efforts to detect and suspend extremist accounts, before they are used to recruit members and spread propaganda.
