[Submitted on 24 Sep 2026]
Title:Lighthouse: On Building a Trustworthy Digital Assistant for Exploring History with Civil Rights Archives
View a PDF of the paper titled Lighthouse: On Building a Trustworthy Digital Assistant for Exploring History with Civil Rights Archives, by John A. Aydin and 6 other authors
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Abstract:Artificial intelligence (AI), as a decision-support aid, provides new tools for studying history effectively using multimodal data, including text, images, and audio. We present, to our knowledge, the first digital assistant named Lighthouse--commonly called a chatbot--for exploring the Civil Rights period of the United States using data from South Carolina. From an AI perspective, the system's novelty lies in its guiding design principles of (a) focusing on trustworthiness of content and (b) by modeling and reducing potential harm to users from generated answers. It implements these with a neuro-symbolic approach that combines neural learning through a large language model (LLM) with rule-based symbolic solving, balancing risk of answers with generality of coverage. We evaluate Lighthouse with both factual objective questions that admit a single acceptable answer as well as subjective questions. For the latter, a dataset of subjective question-answer pairs (QAs) is created by discovering a "gold standard" by aggregating answers from independent experts. Lighthouse has access to over 18k primary sources from a range of collections and can be easily extended.
Subjects:
Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2610.30158 [cs.CL]
(or arXiv:2610.30158v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2610.30158
arXiv-issued DOI via DataCite
Submission history
From: John Aydin [view email] [v1] Thu, 24 Sep 2026 02:22:04 UTC (2,743 KB)
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