AI Bibliography
AI Bibliography |
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Lawless, W. F., Mittu, R., Sofge, D., & Hiatt, L. (2019). Artificial intelligence, autonomy, and human-machine teams Interdependence, context, and explainable ai. AI Magazine, 40(3). |
| Resource type: Journal Article BibTeX citation key: Lawless2019a View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, Data Sciences, Engineering, General Subcategories: Autonomous systems, Deep learning, Human factors engineering, Machine intelligence, Machine learning, Psychology of human-AI interaction Creators: Hiatt, Lawless, Mittu, Sofge Publisher: Collection: AI Magazine |
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Because in military situations, as well as for self-driving cars, information must be processed faster than humans can achieve, determination of context computationally, also known as situational assessment, is increasingly important. In this article, we introduce the topic of context, and we discuss what is known about the heretofore intractable research problem on the effects of interdependence, present in the best of human teams; we close by proposing that interdependence must be mastered mathematically to operate human-machine teams efficiently, to advance theory, and to make the machine actions directed by AI explainable to team members and society. The special topic articles in this issue and a subsequent issue of AI Magazine review ongoing mature research and operational programs that address context for human-machine teams.
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