Tradeoff determination for ethics, safety, and inclusivity in AI systems

Published in Towards Data Science, 2021

Recommended citation: Gupta, Abhishek. “Tradeoff Determination for Ethics, Safety, and Inclusivity in AI Systems.” Medium, Towards Data Science, 4 Apr. 2021, https://towardsdatascience.com/tradeoff-determination-for-ethics-safety-and-inclusivity-in-ai-systems-60f20a3d0d0c. https://towardsdatascience.com/tradeoff-determination-for-ethics-safety-and-inclusivity-in-ai-systems-60f20a3d0d0c

Design decisions for AI systems involve value judgements and optimization choices. Some relate to technical considerations like latency and accuracy, others relate to business metrics. But each require careful consideration as they have consequences in the final outcome from the system. This article provides details on how to make tradeoff determinations in an effective manner.

Towards Data Science