Summary
In this chapter, we covered the NPD cycle and a review of the common AI/ML model types. We also covered an overview of how to train, deploy, and troubleshoot the models that are chosen, giving us a reasonable foundation on what to expect when working with models in production. We also touched on some of the most important ethical practices, coming from some of the most rigorous standards that exist, when building products with AI/ML components.
If you’re interested in expanding further on building ethical AI, we’ve provided some handy links in the following section for additional study. Keep in mind that we’re at a critical juncture with regard to AI/ML ethics. We’re building this ship as we’re sailing it, and as AI/ML products continue to enter the zeitgeist, we will see additional measures put in place to reign in the potential harm caused by improper AI deployments through the diligent work of lawmakers and activists. We’re not there...
