Best Practice Report

AI Aspirants: Caveat Emptor

Tackle Third-Party Risk Head-On And Improve AI Accountability

August 12th, 2020
Brandon Purcell, VP, Principal Analyst
Brandon Purcell VP, Principal Analyst
With contributors:
Srividya Sridharan , Diego Lo Giudice , Martha Bennett , Alla Valente , Aldila Yunus , Kjell Carlsson, PhD , Anjali Lai , Renee Murphy

Summary

A lack of accountability in AI can result in regulatory fines, brand damage, and lost customers. Responsible AI development involves training in the ethical use of AI, testing throughout the AI lifecycle, and independent review and audit. This report advises business insights pros on how to improve their companies’ AI accountability by performing third-party due diligence and adhering to emerging best practices for responsible AI development and deployment.

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