I foresee AI-driven tools playing an increasingly pivotal
Posted: Thu Jul 10, 2025 3:48 am
In summary, the integration of Python and AI-assisted coding tools has not only enhanced my use of ARCH datasets but also enabled the creation of client-side web applications for data visualization.
Thomas: Beyond pairing ChatGPT with ARCH, what additional uses are you anticipating for AI-driven tools in your work?
Kevin: AI-driven tools have already radically transformed my daily work. I am using AI to reduce or even eliminate repetitive, mindless tasks that take tens or hundreds of hours. For example, as part of the Mapping project, ChatGPT+ helped me transform an AirTable with almost 500 rows and two dozen columns into a series of 500 blog posts on a WordPress site. ChatGPT+ understands the structure of a WordPress export file. After a couple of hours of iterating through my design requirements with ChatGPT, I was able to import 500 blog posts into a WordPress website. Without this intervention, this task would have required over a hundred hours of tedious copying and pasting. Additionally, we have been using AI-enabled platforms like Otter and Descript to transcribe oral interviews.
role in many facets of my work. For instance, natural language processing could automate the categorization and summarization of large text-based datasets, making archival research phone number list more efficient and our analyses richer. AI can also be used to identify entities in large archival datasets. Archives hold a treasure trove of artifacts waiting to be described and discovered. AI offers tools that will supercharge our construction of finding aids and item-level metadata.
Lastly, AI could facilitate more dynamic and interactive data visualizations, like the ones I published on GitHub Pages. These will offer users a more engaging experience when interacting with our research findings. Overall, the potential of AI is vast, and I’m excited to integrate more AI-driven tools into JMU’s classrooms and research ecosystem.
Thomas: Thanks for taking the time Kevin. To close out, whose work would you like people to know more about?
Thomas: Beyond pairing ChatGPT with ARCH, what additional uses are you anticipating for AI-driven tools in your work?
Kevin: AI-driven tools have already radically transformed my daily work. I am using AI to reduce or even eliminate repetitive, mindless tasks that take tens or hundreds of hours. For example, as part of the Mapping project, ChatGPT+ helped me transform an AirTable with almost 500 rows and two dozen columns into a series of 500 blog posts on a WordPress site. ChatGPT+ understands the structure of a WordPress export file. After a couple of hours of iterating through my design requirements with ChatGPT, I was able to import 500 blog posts into a WordPress website. Without this intervention, this task would have required over a hundred hours of tedious copying and pasting. Additionally, we have been using AI-enabled platforms like Otter and Descript to transcribe oral interviews.
role in many facets of my work. For instance, natural language processing could automate the categorization and summarization of large text-based datasets, making archival research phone number list more efficient and our analyses richer. AI can also be used to identify entities in large archival datasets. Archives hold a treasure trove of artifacts waiting to be described and discovered. AI offers tools that will supercharge our construction of finding aids and item-level metadata.
Lastly, AI could facilitate more dynamic and interactive data visualizations, like the ones I published on GitHub Pages. These will offer users a more engaging experience when interacting with our research findings. Overall, the potential of AI is vast, and I’m excited to integrate more AI-driven tools into JMU’s classrooms and research ecosystem.
Thomas: Thanks for taking the time Kevin. To close out, whose work would you like people to know more about?