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Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems

2022-10-14 16:54:20
Thomas E. Doyle, Victoria Tucci, Calvin Zhu, Yifei Zhang, Basem Yassa, Sajjad Rashidiani, Md Asif Khan, Reza Samavi, Michael Noseworthy, Steven Yule
arXiv_AI
   
Abstract

The rapid integration of artificial intelligence across traditional research domains has generated an amalgamation of nomenclature. As cross-discipline teams work together on complex machine learning challenges, finding a consensus of basic definitions in the literature is a more fundamental problem. As a step in the Delphi process to define issues with trust and barriers to the adoption of autonomous systems, our study first collected and ranked the top concerns from a panel of international experts from the fields of engineering, computer science, medicine, aerospace, and defence, with experience working with artificial intelligence. This document presents a summary of the literature definitions for nomenclature derived from expert feedback.

Abstract (translated)

URL

https://arxiv.org/abs/2210.09086

PDF

https://arxiv.org/pdf/2210.09086.pdf

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