Building Coherent Use into the DevOps Lifecycle for High-Stakes AI
• Conference Paper
Software Engineering Institute
The creation of high-stakes artificial intelligence (AI) has the potential to positively impact users and their surrounding environment. However, today’s development practices introduce the risk of serious errors of misuse, disuse, and abuse that can lead to loss of life and liberty. Software developers must focus on mitigating these potential errors of use while also ensuring the timely delivery of AI-enabled technology. In this paper, we lay out the human-machine interaction in terms of a cost-benefit analysis and thus highlight the need for coherency between the human and AI. We use this reference model to inform development of a Goal, Question, Metric approach to achieving a Coherent Use of AI-enabled software that can be applied throughout the DevOps lifecycle.
Part of a Collection
AI Engineering Assets
Proceedings of the AAAI Spring Symposium on AI Engineering, 2022