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arXiv 2202.03172cs.SEcs.AI
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创建支持AI的系统的6-D

The 6-Ds of Creating AI-Enabled Systems

Johns Hopkins University Applied Physics Laboratory(约翰斯·霍普金斯大学应用物理实验室)

John Piorkowski

摘要:

我们正在进入当前人工智能(AI)春天的第十个年头,与之前的AI炒作周期一样,AI冬天的威胁迫在眉睫。人工智能冬天的出现是因为在技术死亡谷中航行的方法无效。6-D框架提供了一个端到端的框架来成功应对这一挑战。6-D框架从问题分解开始,以识别潜在的AI解决方案,并以部署AI支持的系统的考虑因素结束。本文描述了6-D框架的每个组件和精准医疗用例。

英文摘要:

We are entering our tenth year of the current Artificial Intelligence (AI) spring, and, as with previous AI hype cycles, the threat of an AI winter looms. AI winters occurred because of ineffective approaches towards navigating the technology valley of death. The 6-D framework provides an end-to-end framework to successfully navigate this challenge. The 6-D framework starts with problem decomposition to identify potential AI solutions, and ends with considerations for deployment of AI-enabled systems. Each component of the 6-D framework and a precision medicine use case is described in this paper.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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