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Organizational Processes for Machine Learning Risk Management

Organizational processes are a key nontechnical determinant of reliability in ML systems.

7 min readSep 23, 2023

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In our ongoing series on Machine Learning Risk Management, we've been looking at some of the critical elements that ensure the trustworthiness of Machine Learning (ML) systems. In our first installment, we discussed the Cultural Competencies for Machine Learning Risk Management, in detail. The insights presented therein lay the foundation for our current exploration, and therefore, I highly recommend that you go through the part before continuing with this article.

In this second article, we’ll shift our focus to another vital element in the context of ML systems: Organizational Processes. While technical intricacies often overshadow these processes, they hold the key to guaranteeing the safety and performance of machine learning models. Just as we recognized the significance of cultural competencies, we now acknowledge that organizational processes are the…

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Parul Pandey
Parul Pandey

Written by Parul Pandey

Principal Data Scientist @H2O.ai | Author of Machine Learning for High-Risk Applications

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