SEAIFeb 4, 2022

The 6-Ds of Creating AI-Enabled Systems

arXiv:2202.03172v1
Originality Synthesis-oriented
AI Analysis

This addresses the problem of ineffective AI system development for practitioners and organizations, but it is incremental as it builds on existing frameworks.

The paper tackles the challenge of navigating the technology valley of death in AI to prevent another AI winter by proposing the 6-D framework, which provides an end-to-end approach from problem decomposition to deployment, illustrated with a precision medicine use case.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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