Jun

05

2023

Responsible Machine Learning

Laser 5 Jun 2023 06:35 LEARNING » e-book

Responsible Machine Learning
2020 | English | 9781492090878 | 67 pages | EPUB | 1.77 MB

Like other powerful technologies, AI and machine learning present significant opportunities. To reap the full benefits of ML, organizations must also mitigate the considerable risks it presents. This report outlines a set of actionable best practices for people, processes, and technology that can enable organizations to innovate with ML in a responsible manner.

Authors Patrick Hall, Navdeep Gill, and Ben Cox focus on the technical issues of ML as well as human-centered issues such as security, fairness, and privacy. The goal is to promote human safety in ML practices so that in the near future, there will be no need to differentiate between the general practice and the responsible practice of ML.



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