How the Smithsonian is using AI to connect artifacts from the American Revolution

Read the original at Toronto Star ↗
Toronto Star · collected 2026-10-03 · by Steven Sloan The Associated Press

Quick Summary

The Smithsonian Institution is using artificial intelligence to connect artifacts related to the American Revolution, aiming to enhance public and scholarly understanding during the United States' 250th anniversary of independence. With around 10,000 digitized objects from 1770 to 1810, AI has helped locate connections like a silversmith's advertisement for a creamer similar to one in the Smithsonian’s collection. The project, called Revolution Crossroads, seeks to uncover and add new information about lesser-known individuals who contributed to early American communities.
Written locally by qwen2.5:14b on 2026-10-03, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

Smithsonian Institution leaders are using AI technology to enhance understanding of artifacts related to the American Revolution, as the United States marks its 250th anniversary of independence. The project, called Revolution Crossroads, aims to allow both scholars and the public to search through collections at the Smithsonian and other organizations like the Library of Congress to uncover deeper connections between historical items. Since researchers began applying AI models in spring, they have quickly identified links that would previously have required extensive manual searches across multiple catalogs. For example, they located a silversmith running newspaper advertisements for a creamer around 1774, similar to one held at the Smithsonian's National Museum of American History. The ultimate goal is to explore records and uncover new stories about people involved in the nation’s founding era.

Written for “Smithsonian AI American Revolution” on 2026-10-05, grounded in this article and the 0 other(s) covering the same event.

Signals How these are calculated →

Claims extracted
29
claim-shaped sentences
Uncertain
7%
2 of 29 hedged
Leaning
not political
takes no side on a contested political question
Correction & hedging signals
63.3
corrections and hedging in what we collected; not a measure of accuracy
Outlets on this story
1
Technology
Narrative spread
1
articles carrying this framing
Analyzed 2026-10-03 · how these are computed

Story

📰 Smithsonian AI American Revolution
Technology · 1 article(s) covering the same event.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Compared with similar articles

Nothing to compare against. No article is close enough to this one for the pipeline to have linked or judged the pair.

Publisher

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Running correction rate · 17 correction(s)
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Who wrote this

Steven Sloan The Associated Press
3 article(s) here · 1 carrying a prediction
🔮 Since researchers on the project, known as Revolution Crossroads, began applying AI models in the spring, they have quickly drawn links that would have previously required extensive manual searches across multiple catalogs.
🔮 He’s pressing Congress for changes that would help him resolve what he has called a “liquidity crisis.”
🔮 “Some of these things are out of our control,” House Speaker Mike Johnson, a Louisiana Republican, told reporters last week when pressed on whether the frenzy will hurt his party’s election prospects.
Wire or desk byline, not an individual reporter.
Also by Steven Sloan The Associated Press
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

Smithsonian WASHINGTON the American Revolution the Library of Congress the Smithsonian Institution

Subjects

Smithsonian ORG · 10× the Library of Congress ORG · 3× Kobberod PERSON · 2× WASHINGTON GPE · 2× Becky Kobberod PERSON · 1× George Washington PERSON · 1× National Museum of American History ORG · 1× Thomas Jefferson PERSON · 1× the Smithsonian Institution ORG · 1× the United States GPE · 1×

Narrative

The goal is to allow the public and scholars to both search the institution’s collection and draw connections across the Smithsonian and other organizations, such as the Library of Congress, to gain a deeper sense of how communities formed and functioned at the nation’s birth.
framing: assertive · carried by 1 article(s) · first seen 2026-10-03
🔮 Since researchers on the project, known as Revolution Crossroads, began applying AI models in the spring, they have quickly drawn links that would have previously required extensive manual searches across multiple catalogs.

Claims (29 extracted, 2 hedged)

But leaders of the Smithsonian Institution are using AI to bridge the divide. asserted
leaders → use → divide
As the United States celebrates its 250th anniversary of independence, Smithsonian leaders are turning to AI to better understand items in its collection tied to the fight that led to the country’s founding. asserted
that → celebrate → founding
The goal is to allow the public and scholars to both search the institution’s collection and draw connections across the Smithsonian and other organizations, such as the Library of Congress, to gain a deeper sense of how communities formed and functioned at the nation’s birth. asserted
communities → allow → birth
Since researchers on the project, known as Revolution Crossroads, began applying AI models in the spring, they have quickly drawn links that would have previously required extensive manual searches across multiple catalogs. asserted
that → know → catalogs
They located, for instance, a silversmith who was running newspaper advertisements for a creamer around 1774, similar to one held at the Smithsonian’s National Museum of American History. asserted
who → locate → History
The ultimate ambition is to scour records and surface new stories about people whose lives have faded away over the centuries. “ asserted
lives → scour → centuries
An ideal scenario is that we get to a place where we’re actually adding to the public record,” said Becky Kobberod, the chief digital and innovation officer at the Smithsonian. asserted
Kobberod → get → Smithsonian
“Maybe they’re not Thomas Jefferson or George Washington, but they did live in a community and build that community, and that name is now known.” asserted
name → ’re → community
Since its founding in 1846, the Smithsonian has curated the nation’s history and culture across an operation that now spans 21 museums and galleries, including the National Zoo. asserted
that → curate → Zoo
It’s a role that’s taken on new significance as Republican President Donald Trump has questioned some of the institution’s portrayals. asserted
Trump → ’ → portrayals
Kobberod’s team has identified about 10,000 objects centered on people who lived during the 40-year period from 1770 to 1810. asserted
who → identify → 1810
They have had to digitize — and in some cases redigitize — the objects to make them more accessible to AI. asserted
them → have → AI
The public can search the records online. asserted
public → search → records
For Natalie Buda Smith, the director of digital strategy at the Library of Congress, the project is a reminder that these institutions are deeply engaged in rapidly evolving technology. asserted
institutions → engage → technology
This work, she said, can help people researching materials who don’t know whether to begin at the Smithsonian, the Library of Congress or somewhere else. asserted
who → say → Congress
The creamer example “illustrates that there’s a richness out there and you might find part of the story at the Smithsonian and part of the story at the library,” she said. uncertain
she → illustrate → library
“Open up those doors to people so they can understand, because they found it in the Smithsonian doesn’t mean it’s the end of the story. asserted
it → open → story
The work is unfolding at a sensitive time in the debate over how to properly harness AI. asserted
work → unfold → AI
Some of the industry’s top leaders have issued increasingly dire warnings about the technology’s potential harm. asserted
Some → issue → harm
Many were in Washington this week, where they met with Trump and signed a voluntary accord for reviews. asserted
they → meet → reviews
Democrats and some Republicans are calling for a more robust response, including stronger regulation of AI. asserted
Democrats → call → AI
Kobberod, the first person to hold her role at the Smithsonian, acknowledged a “healthy fear” of AI. asserted
Kobberod → hold → AI
She said the Smithsonian is not using any of the current frontier models that have received much of the scrutiny in recent weeks. asserted
that → say → weeks
She also emphasized the importance of human oversight in the research, noting that trained historians review the data and can recognize nuance that would be lost on an AI agent. asserted
that → emphasize → agent
“What they might say is, ‘actually that is a known nickname for so-and-so’ or ‘that is a generic term that’s used for X, Y, Z,” she said. uncertain
she → say → Z
“That is the nuance that a historian or someone who’s spent their whole career studying that time period is going to know that a machine is not.” asserted
machine → spend → period
Still, she said it is important to embrace the possibilities that surround AI. asserted
that → say → AI
“It’s not going away,” she said. asserted
she → go → ?
“We do believe we need to lean in and figure out the part that this technology plays in our work.” asserted
technology → believe → work
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