About this talk
Investigative journalism projects often entail searching through vast troves of documents, media and datasets to find stories to tell. Dylan and Teresa work on a team at The New York Times that uses artificial intelligence to uncover stories that wouldn't otherwise get told and to help reporters better find what they're looking for in large collections of data. They will explain the process behind some of their latest investigations, share tools they've built in-house to spread A.I. capabilities and share princples for when and when not to use A.I. in journalism.
Teresa
Mondría Terol
A.I. Initiatives Fellow
The New York Times
I am a member of a team at The Times that uses artificial intelligence and other machine-learning algorithms to enhance our reporting with computational analysis and internal A.I. tools
Dylan
Freedman
A.I. Projects Editor
The New York Times
As a journalist and machine-learning engineer, Dylan builds computational tools to enable reporters to tell more ambitious stories and works on a broad range of investigative and political projects.