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Harnessing AI for Family Photo Tasks with Steve Little and Mark Thompson

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Manage episode 417763913 series 1492193
Вміст надано Maureen Taylor. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Maureen Taylor або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

In this episode of "The Photo Detective," guests Steve Little and Mark Thompson return to discuss AI's integration in genealogy photo projects. They discuss historical breakthroughs in image analysis, such as the ability of AI to recognize visual jokes and extract text from images, such as tombstone inscriptions. They also cover the practical applications of AI in managing and tagging large photo collections, greatly reducing the time and effort required. The discussion emphasizes the importance of critical analysis in genealogy, noting that AI tools should complement but not replace traditional research methods. The episode highlights the evolving nature of AI technology, the ethical considerations in its use, and the potential future advancements that could further revolutionize genealogical photo analysis.

  • Key Topics:
    • Historical development of AI in image recognition.
    • Practical uses of AI in photo tagging and collection management.
    • Detailed case studies of AI successfully identifying and analyzing elements in photos.
    • Ethical concerns and limitations of AI, especially in facial recognition.
    • Future prospects and potential improvements in AI photo analysis technology.
  • Insights:
    • Discussion on AI's role in identifying visual jokes.
    • How AI has revolutionized the task of managing and tagging massive photo collections.
    • Ethical implications of advanced facial recognition technologies.
    • Importance of maintaining a skeptical and analytical approach to AI-generated data in genealogy.
  • Conclusion: Emphasis on AI as a tool in genealogy that requires cautious integration and continual evaluation.

Related Episodes:

Episode 207: An Underutilized Source: The Newberry Library

Episode 221: Permanent Digital Storage Solutions with Tammy Kirby of Forever.com

Links:

About My Guest:

Stephen J. Little, is the AI Program Director for the National Genealogical Society and has lifelong passions for language, technology, and genealogy. His passion lies in AI & genetic genealogy, with a keen interest in endogamy, pedigree collapse, and the art of deciphering multiple relationships through DNA segment triangulation, and an insatiable cur

I'm thrilled to be offering something new. Photo investigations. These collaborative one-on-one sessions. Look at your family photos then you and I meet to discuss your mystery images. And find out how each clue and hint might contribute to your family history. Find out more by going to maureentaylor.com and clicking on family photo investigations.

Support the show

  continue reading

264 епізодів

Artwork
iconПоширити
 
Manage episode 417763913 series 1492193
Вміст надано Maureen Taylor. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Maureen Taylor або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

In this episode of "The Photo Detective," guests Steve Little and Mark Thompson return to discuss AI's integration in genealogy photo projects. They discuss historical breakthroughs in image analysis, such as the ability of AI to recognize visual jokes and extract text from images, such as tombstone inscriptions. They also cover the practical applications of AI in managing and tagging large photo collections, greatly reducing the time and effort required. The discussion emphasizes the importance of critical analysis in genealogy, noting that AI tools should complement but not replace traditional research methods. The episode highlights the evolving nature of AI technology, the ethical considerations in its use, and the potential future advancements that could further revolutionize genealogical photo analysis.

  • Key Topics:
    • Historical development of AI in image recognition.
    • Practical uses of AI in photo tagging and collection management.
    • Detailed case studies of AI successfully identifying and analyzing elements in photos.
    • Ethical concerns and limitations of AI, especially in facial recognition.
    • Future prospects and potential improvements in AI photo analysis technology.
  • Insights:
    • Discussion on AI's role in identifying visual jokes.
    • How AI has revolutionized the task of managing and tagging massive photo collections.
    • Ethical implications of advanced facial recognition technologies.
    • Importance of maintaining a skeptical and analytical approach to AI-generated data in genealogy.
  • Conclusion: Emphasis on AI as a tool in genealogy that requires cautious integration and continual evaluation.

Related Episodes:

Episode 207: An Underutilized Source: The Newberry Library

Episode 221: Permanent Digital Storage Solutions with Tammy Kirby of Forever.com

Links:

About My Guest:

Stephen J. Little, is the AI Program Director for the National Genealogical Society and has lifelong passions for language, technology, and genealogy. His passion lies in AI & genetic genealogy, with a keen interest in endogamy, pedigree collapse, and the art of deciphering multiple relationships through DNA segment triangulation, and an insatiable cur

I'm thrilled to be offering something new. Photo investigations. These collaborative one-on-one sessions. Look at your family photos then you and I meet to discuss your mystery images. And find out how each clue and hint might contribute to your family history. Find out more by going to maureentaylor.com and clicking on family photo investigations.

Support the show

  continue reading

264 епізодів

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