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Histobot

Generative AI chatbot that reenacts historical figures, using large language models to simulate historically contextual dialogue
Lina Ruth Harder 2026-05-22

Explication

A histobot is a generative artificial intelligence (genAI) system that produces open-ended, first-person responses attributed to a deceased historical figure. The term comprises histo(ry), the study of past events, and_ (chat)bot_, a software program that simulates conversation through text, voice, or video interfaces. First introduced as a formal concept at the AI & Narrative Seminar, University of Bergen in 2024 (Harder, “Histobots. Echoes of History or AI Storytime?”), histobots mark a new area of research at the intersection of historiography, interaction design, and critical AI studies.  

Histobots are algorithmic narrators that combine statistical text generation with persona-based interaction. They use the affordances of conversational AI, such as multimodal input, speech synthesis, and character embodiment. Some appear as simple text bots, while others include avatars or are embedded in physical or mobile interfaces. 

Technically, histobots run on large language models (LLMs) trained through a three-stage process: pre-training on large corpora, fine-tuning with human feedback, and prompt engineering (see: Omiye et al. 4, fig.1). Outputs are shaped by classifiers that limit harmful responses (OpenAI). Most rely on proprietary models, such as GPT-4, trained on opaque and often synthetic data, which can risk model collapse as the language output drifts from human patterns (Shumailov et al.). These models perform a distant reading by absorbing statistical regularities across large corpora rather than interpreting individual texts. 

Histobots belong to a broader tradition of digital history and historical simulation. Historical reenactment reworks the past through new narrative forms rather than strict reconstruction, often combining archival and visual materials (Mudu 99–101). Like historical reenactment, histobots unsettle linear time and challenge fixed representations of history (Baldacci and Franco in Mudu ix–x). They operate as simulacra (Baudrillard), offering the illusion of presence rather than historical truth. They link to edutainment, a concept popularised by Walt Disney in 1948 to describe media that aim to educate through entertainment (Van Riper 2, 4).  

Histobots differ from other genAI agents. Fanbots (Ask) simulate fictional or pop-cultural figures that derive their weight from fan networks, while griefbots, deadbots, or thanabots (Hollanek and Nowaczyk-Basińska 1–2; Henrickson and others) emulate the deceased for personal gain. In contrast, histobots are typically framed as educational, though their outputs remain shaped by prompt and interface design, user input, and dataset bias. They resemble cybertexts in their ergodic structure, as users must interact to unfold the narrative. 

Cultural institutions have begun to adopt histobots. Bonjour Vincent (Musée d’Orsay) simulates an avatar of van Gogh through a curated model trained on 900 letters. Ask Dalí (Salvador Dalí Museum) delivers a voice-based experience via a replica of Salvador Dalí’s lobster phone. Chat with Natalie (Metropolitan Museum of Art’s Costume Institute and OpenAI) features a text-based 1920s New York socialite. These examples reflect platformization (Nieborg and Poell) and often function as closed systems, shaped by institutional curation. 

Histobots also appear on commercial platforms. Hello History, Humy.ai (Humy.ai team; FACING IT International AB) and Khanmigo (Khanmigo Feature) offer users text-based conversations with AI-generated figures. Although these tools claim educational value (Khan), their ethical and pedagogical impact is debated (see: Wallace and Peeler on Hariet Tubman on Khanmigo). 

Earlier uses of the term histobot have been inconsistent from “Question Generation System Using Deep Learning Techniques” (Pranav and Prasad V R), to a mention as an educational chatbot without further reference (Wu and Luo), and as branding for an “automated historian” (Shapes Inc), or a preview for an “AI history companion” (Huzaifa). Since early 2025, histobot has also referred to a history-themed Instagram journal (histobot) and a YouTube channel (HistoryyBot) that hosts AI-generated videos. This explication consolidates the term within critical scholarship. Ongoing research continues to examine its implications and use (Harder, “Prompted Into Existence”; Harder et al., Extending Digital Narrative). 

Histobots pose challenges and risks beyond those of general (AI) chatbots. By simulating named historical figures, they can distort cultural memory through simplified, ahistorical, or commercial narratives and create hyperreal simulations, detached from any stable referent. Their framing often fixes individuals into narrow stereotypes. Platform governance, opaque data, and monetisation further shape their speech, raising the danger of historical negationism, selective remembrance, and the privatisation of shared memory. As they ventriloquise the dead, questions of voice appropriation, posthumous consent, and authorship become acute, placing histobots within contested ethical, legal, and epistemic ground.

See Also

  • Algorithmic Narrativity - The combination of the human ability to understand experience through narrative with the power of the computer to process and generate data that results in the development, modification, and distribution of narratives
  • Artificial Intelligence (AI) - Simulation of human intelligence processes by computer systems, to create or interpret content in innovative and sometimes literary ways
  • Avatar - Digital representation of a user or character within a virtual environment, allowing for interaction and identification within digital narratives or online spaces
  • Chatbot - Software application designed to simulate conversation with human users, often used in digital narratives to provide interactive storytelling experiences
  • Distant Reading - Computational analysis of large text corpora to discern patterns, trends, and structures that are not apparent through close reading of individual texts
  • Emulation - Replication of the functionality of older hardware or software on new systems, ensuring the continued accessibility and functionality of digital works
  • Intertextuality - Relationship between texts, where a text references, alludes to, or is influenced by another text, enriching the reader's understanding and interpretation
  • Machine Learning - Subset of artificial intelligence that involves the development of algorithms that allow computers to learn and adapt through experience, used in digital narratives to generate content or enhance interactivity
  • Parasocial Relationships - One-sided relationships where individuals become attached to media personalities as if they are engaged in reciprocal friendship

Works Referenced

Ask, Kristine. “The Diversifying Chatbots: Lessons from Character.Ai’s “Fanbots” about the Networked Nature of Chatbots.” Online Research Group Presentation. Trondheim, https://www.ntnu.edu/ikm/research/ai-media. AI Media Research Network - Department of Art and Media StudiesTrondheim.  

Baudrillard, Jean. Simulacra and Simulation. Translated by Sheila Faria Glaser, University of Michigan Press, 1994. The Body, in Theory - Histories of Cultural Materialism.  

FACING IT International AB. Humy.Ai - Transform History & Social Studies Education with AI. 2024, https://www.humy.ai/.  

Harder, Lina Ruth, et al. “Extending Digital Narrative with AI, Games, Chatbots, and XR: How Experimental Creative Practice Yields Research Insights.” Humanities, vol. 15, no. 1, 2026, p. 17. DOI.org (Crossref), https://doi.org/10.3390/h15010017. 

———. ‘Histobots. Echoes of History or AI Storytime?’ Seminar Presentation. University of Bergen, Norway, https://www.uib.no/en/cdn/172775/ai-and-digital-narrative. AI and Narrative Seminar, University of Bergen, Norway.  

———. “‘Prompted Into Existence: Defining Histobots in Dialogue with Vincent(s).”’ Manuscript under review. Imaginations, n.d.  

Henrickson, Leah. “Chatting with the Dead: The Hermeneutics of Thanabots.” Media, Culture & Society, vol. 45, no. 5, 2023, pp. 949–66. DOI.org (Crossref), https://doi.org/10.1177/01634437221147626.  

histobot. “History Journal (@histobot).” Social Media. Instagram, Feb. 2025, https://www.instagram.com/histobot/.  

HistoryyBot. “HistoBot.” Social Media. YouTube, 2025, https://www.youtube.com/channel/UCphC3L2JXNG54Ikgz7W95Ew.  

Hollanek, Tomasz, and Katarzyna Nowaczyk-Basińska. “Griefbots, Deadbots, Postmortem Avatars: On Responsible Applications of Generative AI in the Digital Afterlife Industry.” Philosophy & Technology, vol. 37, no. 2, 2024, p. 63. Springer Link, https://doi.org/10.1007/s13347-024-00744-w.  

Humy.ai team. Hello History. Version 3.0, FACING IT International, 8 July 2024, https://play.google.com/store/app/details?id=com.hello.history.  

Huzaifa. “Excited to finally share my latest project – HistoBot: The AI History Companion!” Social Media. LinkedIn, July 2025, https://www.linkedin.com/posts/huzaifa-369b4a291_nextjs-flask-firebase-activity-7335726965422718977-kPQp?utm_source=share&utm_medium=member_desktop&rcm=ACoAAA6cKHsBodSrPwYcpAUXf02mjKZPiT_yJQg.  

Khan, Salman. “Conversing with History.” Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing), by Salman Khan, Viking, 2024, pp. 52–63.  

Khanmigo Feature: Chat with a Historical Figure. Directed by Khan Academy, 2023. YouTube, https://www.youtube.com/watch?v=oPNuQHr6BI0.  

Metropolitan Museum of Art’s Costume Institute and OpenAI. Chat with Natalie. 10 Sept. 2024, https://chatnataliepotter.metmuseum.org/.  

Mudu, Stefano. “Under the Sign of Reenactment.” On Reenactment: Concepts, Methodologies, Tools, edited by Cristina Baldacci and Susanne Franco, Accademia University Press, 2022, pp. 99–109. DOI.org (Crossref), https://doi.org/10.4000/books.aaccademia.12095.  

Musée d’Orsay. “Digital Technology· Hello Vincent | Musée d’Orsay.” Museum. Musée d’Orsay, 2023, https://www.musee-orsay.fr/en/articles/digital-technology-hello-vincent-275618.  

Nieborg, David B, and Thomas Poell. “The Platformization of Cultural Production: Theorizing the Contingent Cultural Commodity.” New Media & Society, vol. 20, no. 11, Nov. 2018, pp. 4275–92. SAGE Journals, https://doi.org/10.1177/1461444818769694.  

Omiye, Jesutofunmi A., et al. Large Language Models in Medicine: The Potentials and Pitfalls. Version 1, 2023. DOI.org (Datacite), https://doi.org/10.48550/ARXIV.2309.00087.  

OpenAI. ‘GPT-4o Mini’. OpenAI Developer Platform, 2024, https://platform.openai.com.  

Pranav, Docca, and Badri Prasad V R. “Histobot: Question Generation System Using Deep Learning Techniques.” International Research Journal on Advanced Science Hub, vol. 5, no. 5, May 2023, pp. 526–30. rspsciencehub.com, https://doi.org/10.47392/irjash.2023.S071.  

Salvador Dalí Museum. “Ask Dalí (Via Artificial Intelligence).” Museum. Salvador Dalí Museum, 2024, https://thedali.org/exhibit/ask-dali/.  

Shapes Inc. “HistoBot,” Shapes, Inc, 2 Nov. 2023, https://shapes.inc/histobot.  

Shumailov, Ilia, et al. “The Curse of Recursion: Training on Generated Data Makes Models Forget.” Version 3, arXiv, 2023. DOI.org (Datacite), https://doi.org/10.48550/ARXIV.2305.17493.  

Van Riper, Anthony Bowdoin, editor. Learning from Mickey, Donald and Walt: Essays on Disney’s Edutainment Films. McFarland, 2011.  

Wallace, Maurice, and Matthew Peeler. “Harriet Tubman’s Deep Voice.” Critical AI, vol. 2, no. 1, Apr. 2024. DOI.org (Crossref), https://doi.org/10.1215/2834703X-11205217.  

Wu, Suhan, and Min Luo. “Selection and Resource Allocation Strategies for Chatbot Technologies in Higher Education: An Optimization Model Approach.” IEEE Access, vol. 13, 2025, pp. 13156–74. DOI.org (Crossref), https://doi.org/10.1109/ACCESS.2025.3530413.

Further Reading

Klein, Alyson. “Chatbots That Impersonate Famous Figures: Should Teachers Use Them or Steer Clear?” Education Week, 9 June 2023. Technology, Classroom Technology. www.edweek.org, https://www.edweek.org/technology/chatbots-that-impersonate-famous-figures-should-teachers-use-them-or-steer-clear/2023/06. 

Kurzweil, Amy, and Daniel Story. “Are Chatbots of the Dead a Brilliant Idea or a Terrible One? | Aeon Essays.” Aeon, 21 Feb. 2025, https://aeon.co/essays/are-chatbots-of-the-dead-a-brilliant-idea-or-a-terrible-one. 

Nieto McAvoy, Eva, and Jenny Kidd. “Synthetic Heritage: Online Platforms, Deceptive Genealogy and the Ethics of Algorithmically Generated Memory.” Memory, Mind & Media, vol. 3, 2024, p. e12. DOI.org (Crossref), https://doi.org/10.1017/mem.2024.10. 

Rennolds, Nathan, and Lakshmi Varanasi. “AI Chatbots Let You ‘interview’ Historical Figures like Harriet Tubman. That’s Probably Not a Good Idea.” Businessinsider.Com, 10 Jan. 2023, https://www.businessinsider.com/ai-chatbots-ethics-dangers-historical-figures-2023-10?r=US&IR=T.

Cite This

Harder, Lina Ruth. "Histobot." The Living Glossary of Digital Narrative, 2026. https://glossary.cdn.uib.no/terms/histobot

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