Trustworthy machine learning and artificial intelligence-Reference-Cited by-同舟云学术

Trustworthy machine learning and artificial intelligence

Published:2019-04-10 Issue:3 Volume:25 Page:26-29
ISSN:1528-4972
Container-title:XRDS: Crossroads, The ACM Magazine for Students
language:en
Short-container-title:XRDS

Author:

Varshney Kush R.¹

Affiliation:

1. IBM T. J. Watson Research Center, Yorktown Heights, NY

Abstract

How can we add the most important ingredient to our relationship with machine learning?

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3313109

Reference2 articles.

1. IBM. Adversarial Robustness Toolbox. {November 14 2018}; https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox IBM. Adversarial Robustness Toolbox. {November 14 2018}; https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox

2. IBM Research. AI Fairness 360 Open Source Toolkit. 2018; http://aif360.mybluemix.net IBM Research. AI Fairness 360 Open Source Toolkit. 2018; http://aif360.mybluemix.net

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