A Goal, Question, Metric Approach to Coherent Use Integration Within the DevOps Lifecycle
dc.contributor.advisor | Regli, William | en_US |
dc.contributor.author | Rassmann, Kelsey Anne | en_US |
dc.contributor.department | Computer Science | en_US |
dc.contributor.publisher | Digital Repository at the University of Maryland | en_US |
dc.contributor.publisher | University of Maryland (College Park, Md.) | en_US |
dc.date.accessioned | 2022-06-22T05:41:25Z | |
dc.date.available | 2022-06-22T05:41:25Z | |
dc.date.issued | 2022 | en_US |
dc.description.abstract | 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 it 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. | en_US |
dc.identifier | https://doi.org/10.13016/czbd-ov8j | |
dc.identifier.uri | http://hdl.handle.net/1903/29022 | |
dc.language.iso | en | en_US |
dc.subject.pqcontrolled | Computer science | en_US |
dc.subject.pquncontrolled | AI Engineering | en_US |
dc.subject.pquncontrolled | Artificial Intelligence | en_US |
dc.subject.pquncontrolled | Software Engineering | en_US |
dc.title | A Goal, Question, Metric Approach to Coherent Use Integration Within the DevOps Lifecycle | en_US |
dc.type | Thesis | en_US |
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