The 6-Ds of Creating AI-Enabled Systems

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The 6 -Ds of Creating AI-Enabled Systems Dr. John Piorkowski Johns Hopkins University Applied Physics Laboratory 11100 Johns Hopkins Rd. Laurel, Maryland 20723- 6099 [email removed] Abstract We are entering our tenth year of the current Artificial Intel- ligence (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 decompositio n to identify potential AI solutions, and ends with considerations for de-ployment of AI -enabled s ystems. Each component of the 6-D framework and a precision medicine use case is described in this paper. 1. Introduction In 2012, a team of researchers, led by Geoffrey Hinton, ad- vanced the field of computer vision using convolutional neural networks ...

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• [1] https://arxiv.org/abs/2202.03172