The 6-Ds of Creating AI-Enabled Systems

TL;DR

This paper introduces the 6-D framework, an end-to-end approach for developing AI-enabled systems, addressing challenges from problem identification to deployment to avoid AI winters.

Contribution

The paper presents the 6-D framework as a comprehensive guide for creating AI systems, including a detailed case study in precision medicine.

Findings

The 6-D framework covers problem decomposition, solution development, and deployment.

Application to precision medicine demonstrates practical utility.

Framework aims to prevent AI winters by guiding effective AI system development.

Abstract

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.