论文标题
人工智能命名法从Delphi研究中确定了有关与自主系统采用障碍有关的关键问题
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems
论文作者
论文摘要
人工智能跨传统研究领域的快速整合产生了术语的合并。随着跨学科团队在复杂的机器学习挑战方面共同努力，在文献中找到基本定义的共识是一个更根本的问题。作为Delphi流程的一步，定义了信任和采用自治系统的障碍的问题，我们的研究首先收集并排名了来自工程，计算机科学，医学，航空航天和国防领域的国际专家小组的首要关注，并具有与人工智能合作的经验。本文档概述了从专家反馈中得出的命名法的文献定义。
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.
