AI
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.
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.
Researchers Propose New Method to Hedge against the Risk of Climate Disaster
Markets could be a huge part of mitigating climate risk. A proposal from Yale finance faculty seeks to make that a reality.
Will Machine Learning Transform Finance?
Charles Elkan, Goldman Sachs’ global head of machine learning, on the technology can extract value from the natural resource that is defining this century—data.
