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The International FLAIRS Conference Proceedings
Article . 2023 . Peer-reviewed
License: CC BY NC
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Teaching Artificial Intelligence (AI) with AI for AI applications

Authors: Keith Brawner; Ning Wang; Ben Nye;

Teaching Artificial Intelligence (AI) with AI for AI applications

Abstract

The emergence of widely-used artificial intelligence (AI) has created a critical need for AI expertise, not just as a research area but for workers in the wide variety of careers and roles that AI disrupts. While AI is still an area of research for new processing, application, and development – it continues to partially automate, augment, or replace many of the tasks which are performed through active use of human hands. While recently publicized items such as ChatGPT and MidJourney have made press in their adjustment to writing and image generation technology, the basic workflow of copyeditors and digital artists was completely transformed, inside of the year, to a combination of partially automated or fully automated AI tasks. While some blame AI as part of the “problem”, it is naturally part of the “solution” – AI tools to help workers develop AI competencies. The paper describes an array of strategies which the DoD and its ICT UARC are using to address the fundamental problem of quickly upskilling the DoD workforce of over 2 million adult learners.

Keywords

Technology, T, Electronic computers. Computer science, QA75.5-76.95

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
gold