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MS Defense: A Goal, Question, Metric Approach to Coherent Use Integration within the DevOps Lifecycle
Kelsey Rassmann
Tuesday, April 12, 2022, 1:00-3:00 pm Calendar
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The development of high-stakes artificial intelligence (AI) technology creates a possibility for disastrous errors of misuse and disuse. Despite these risks, AI still needs to be developed in a timely manner as it has the potential to positively impact users and their surrounding environment. High-stakes AI needs to “move fast” but is must not “break things.” This thesis provides developers with a methodology that will allow them to establish human-AI coherency while maintaining the development speed of the DevOps software development lifecycle. First, I will present a model of the human-machine interaction (HMI) which will motivate a new mode of AI use entitled `Coherent Use.’ Then, I will describe a Goal, Question, Metric approach to maximizing Coherent Use which will integrate directly into the DevOps lifecycle. Finally, I will simulate the usage of this template through an existing software product.

Examining Committee:
Dr. William Regli                
Dr. Craig Lawrence 
Dr. Adam Porter

Kelsey Rassmann is a Masters student advised by Dr. Regli.  She has been working with the Applied Research Laboratory for Intelligence and Security as a graduate research assistant since the 2021 spring semester and her interests are at the intersection of artificial intelligence, software engineering, and human-computer interaction.

This talk is organized by Tom Hurst