A Goal, Question, Metric Approach to Coherent Use Integration Within the DevOps Lifecycle

dc.contributor.advisorRegli, Williamen_US
dc.contributor.authorRassmann, Kelsey Anneen_US
dc.contributor.departmentComputer Scienceen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2022-06-22T05:41:25Z
dc.date.available2022-06-22T05:41:25Z
dc.date.issued2022en_US
dc.description.abstractThe 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.identifierhttps://doi.org/10.13016/czbd-ov8j
dc.identifier.urihttp://hdl.handle.net/1903/29022
dc.language.isoenen_US
dc.subject.pqcontrolledComputer scienceen_US
dc.subject.pquncontrolledAI Engineeringen_US
dc.subject.pquncontrolledArtificial Intelligenceen_US
dc.subject.pquncontrolledSoftware Engineeringen_US
dc.titleA Goal, Question, Metric Approach to Coherent Use Integration Within the DevOps Lifecycleen_US
dc.typeThesisen_US

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