“Ideas for Using AI in Family History – Family History Update”
Donald R. Snow
1/17/24
Categories: IR, RT
Talk Abstract:
AI (Artificial Intelligence) is helpful in many ways and very much so in family history. This class will show some free AI websites and give some ideas of how to use it in genealogy. These include finding sources for records of various types and locations and how to do various genealogical tasks. There are free and commercial AI websites, but this class will only discuss free ones. What AI finds can be used or disregarded, depending on its accuracy and your interests. The notes and other related information, all with active internet links, is posted on https://uvtagg.org/classes/dons/dons-classes.html .
Speaker Bio:
Don is a Californian by birth, with Snow ancestors from Southern Utah. He is a retired Professor of Mathematics from Brigham Young University, Provo, Utah, and has lived in several foreign countries, both for mathematics and church assignments. After retiring from the BYU Math Faculty, he and his now deceased wife Diane Snow who taught Humanities at BYU, served four Family History missions for the Church of Jesus Christ of Latter-day Saints. These included being Directors of the New York Family History Center in Manhattan, in the Illinois Nauvoo Mission on a FH project ( http://earlylds.com ), and in the London England Family History Centre in the Hyde Park Chapel. Don served two terms on the Board of Directors of the Utah Genealogical Association, where he was the Host of the online UGA Virtual Chapter Meetings, and has been a VP of the Utah Valley Technology and Genealogy Group since the early 1990’s. He is a frequent speaker at FH venues and loves teaching and playing his accordion. He has 6 children and 30 grandchildren. His FH class schedule and notes are posted on his webpage.
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NOTICE:
This presentation is part of a set of over 400 presentations on genealogy and family history produced by "UVTAGG: The Utah Valley Technology and Genealogy Group".
For full details and to join, see the website https://uvtagg.org.