Key Takeaways
- The Smithsonian is using artificial intelligence to link objects from the American Revolutionary era, making hidden connections visible to scholars and the public.
- The “Revolution Crossroads” project has already uncovered relationships—such as a silversmith advertising a creamer in 1774—that would have required months of manual research.
- By digitizing roughly 10,000 items from 1770‑1810 and applying AI models, the institution aims to surface stories of ordinary people whose names have faded from history.
- Collaboration with the Library of Congress shows how cross‑institutional AI tools can guide researchers to the most relevant collections, whether at the Smithsonian, the Library of Congress, or elsewhere.
- Smithsonian leaders stress human oversight, noting that historians provide nuance that AI alone cannot capture, while still advocating for a proactive embrace of AI’s possibilities.
Introduction
As the United States marks its 250th anniversary of independence, the Smithsonian Institution is turning to artificial intelligence to bridge the gap between the nation’s revolutionary past and the digital age. Leaders see AI not as a replacement for traditional scholarship but as a tool that can reveal patterns and stories buried in vast collections, offering a fresh lens on how early American communities formed and functioned.
The Revolution Crossroads Initiative
Named “Revolution Crossroads,” the project applies AI models to objects dating from 1770 to 1810, a forty‑year span that captures the Revolutionary War, the early republic, and the nation’s first cultural foundations. Since its launch in the spring, researchers have used machine‑learning algorithms to sift through catalogues, identifying links that previously would have demanded painstaking manual cross‑referencing across multiple databases.
A Concrete Discovery: The Silversmith and the Creamer
One early success illustrates the technology’s power: AI connected a newspaper advertisement from around 1774 for a creamer placed by a silversmith to a similar creamer held in the Smithsonian’s National Museum of American History. “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,” the article notes. This match would have required archivists to comb through disparate newspaper archives and museum records without AI assistance.
Ambitions Beyond the Obvious
Becky Kobberod, the Smithsonian’s chief digital and innovation officer, envisions the project expanding the public record beyond the usual founding‑father narratives. “An ideal scenario is that we get to a place where we’re actually adding to the public record,” she said. “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.” By surfacing the lives of artisans, merchants, and ordinary citizens, the initiative seeks to democratize historical knowledge.
Scale of Digitization and Access
To feed the AI, Kobberod’s team has identified about 10,000 objects tied to the revolutionary period and has undertaken digitization—or, in some cases, redigitization—to make them machine‑readable. The resulting metadata is searchable online, allowing anyone with an internet connection to explore the collection and trace connections that span museums, archives, and libraries.
Collaboration with the Library of Congress
Natalie Buda Smith, director of digital strategy at the Library of Congress, emphasizes the project’s role in guiding researchers who might be unsure where to begin. “This work… can help people researching materials who don’t know whether to begin at the Smithsonian, the Library of Congress or somewhere else,” she explained. She added that 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.” Her comment underscores the value of open doors: “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.”
Navigating the AI Debate
The initiative unfolds amid a national conversation about AI’s risks and rewards. Top industry leaders have warned of potential harms, prompting meetings with President Trump and a voluntary accord for model reviews. Meanwhile, Democrats and some Republicans call for stronger regulation. Kobberod acknowledges a “healthy fear” of AI but stresses that the Smithsonian is not employing the frontier models that have attracted the most scrutiny.
Human Oversight and Historical Nuance
Central to the Smithsonian’s approach is the insistence that trained historians remain in the loop. Kobberod noted, “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. “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.” This human layer ensures that AI‑generated connections are contextualized correctly and that subtle cultural meanings are not lost.
Embracing AI’s Potential
Despite caution, Kobberod advocates for a proactive stance. “It’s not going away,” she said. “We do believe we need to lean in and figure out the part that this technology plays in our work.” By integrating AI responsibly—with rigorous digitization, clear objectives, and expert validation—the Smithsonian hopes to transform how Americans understand their revolutionary heritage, turning fragmented artifacts into a coherent, accessible narrative.
Conclusion
Through Revolution Crossroads, the Smithsonian is demonstrating that AI, when paired with scholarly rigor, can illuminate the everyday lives that shaped the nation’s birth. The project not only honors the past but also models a path forward for cultural institutions navigating the complexities of modern technology.
https://www.audacy.com/wccoradio/news/politics/artificial-intelligence-smithsonian-american-revolution-crossroads-history-5653502a18f0e476bcb2b540ddf01637