Although generative artificial intelligence tools such as Chat GPT and DALL-E have recently gained worldwide attention, artificial intelligence has already existed for decades, including decision support and heuristics, expert systems, and classification systems. While machine learning and neural networks are decades old, recent improvements in computing power have enabled natural language processing, large language models, an image processing. The sophistication in efficiently processing large amounts of data is tempered by the enduring need for human nuanced reasoning to drive the AI tools toward truly useful outputs.

This stopwatch session will summarize forms of AI, key characteristics and limitations, common applications, guideposts for circumstances under which deploying AI tools makes sense, describe ways to fine-tune the AI outputs, and share a library's AI use case of supervised machine learning.

Session participants are invited to a self-paced online poll on the conference site (https://whova.com/portal/webapp/charl_202311/Agenda/3361933) or Mentimeter (https://www.menti.com/blvczbaodmtx) to share perceptions and questions about AI. Poll responses will be incorporated in the narrative for the conference proceedings.

Come away with new insights to bring back to your home institutions!