Photos and Digital Images

Learn to harness the Internet Archive’s free digital library—a treasure trove of digitized family histories, city directories, census and church records—to enrich your genealogy research. Learn how to build complex prompts to build an index of surnames on a 400 page genealogy book from 1898. Learn how to extract a list of migration routes from the same book, organized by surname, then in generation order, and placed in an Excel file. With the help of AI, you can get the most out of Internet Archive.

This lecture explores how modern AI tools can assist genealogical research planning through the case of Sally Keaton, where the objective was to identify her children using limited historical records and DNA evidence. The presentation demonstrates how to structure effective research plans with AI assistance, covering essential elements including clear objectives, summaries of known facts, working hypotheses, identified sources, and prioritized strategies. Using Sally Keaton’s case as the central example, the lecture showcases practical AI tools, such as side-by-side editors: Canvas (ChatGPT and Gemini) and Artifacts (Claude); also advanced capabilities including reasoning models and organizational tools like ChatGPT’s Projects, Claude’s Projects, Perplexity’s Spaces, and Gemini Gems. While AI can create research plans on its own, human-AI collaboration produces better results. When researchers guide and refine AI-generated strategies instead of using fully automated planning, they achieve more accurate results.

Explore how AI technology, exemplified by ChatGPT, can revolutionize your family history, by embarking on a journey through an ancestor’s life, leveraging AI to uncover his story and shed light on the broader implications for genealogical research!

Artificial intelligence is changing the way genealogists work—but how do you move beyond tips and tricks to apply AI in a sound, methodical way? In this session, Andrew Redfern demonstrates how a case study approach provides the answer. Using real examples, he walks through the stages of tackling a genealogical problem with AI, showing how tools can assist with transcription, analysis, correlation of evidence, and presentation of findings. Rather than treating AI as a shortcut, Andrew highlights how to integrate it into the established genealogical research cycle—problem definition, source gathering, analysis, and conclusion. Attendees will see how AI can clarify complex evidence, save time on repetitive tasks, and support storytelling, while still requiring human expertise and critical thinking. By the end of the session, participants will have a practical framework they can adapt to their own research problems, ensuring that AI becomes a trusted partner in genealogical methodology.

En la actualidad, cuando casi cualquier cosa pasa por la IA, el descubrimiento de una fotografía hecha a finales del siglo XIX o principios del siglo XX, no solo nos traslada a otro momento de la historia en el que el contexto era totalmente diferente, sino que nos abre las posibilidades de estudio de una persona y de una familia. Pero, además, ¿qué nos aporta una fotografía de un desconocido? ¿cuánto podemos averiguar de él y de su entorno? Una fotografía es un documento de memoria colectiva y, como tal, aporta una fuente de información sobre estructura familiar, estilo de vida y valores sociales de la época.

We often need other family members to take a DNA test for us to help us solve our genealogical problems. We’ll discuss ways MyHeritage can help us find, test, and collaborate with our DNA cousins.