The Partnership on AI launches initiative to enhance machine learning transparency


by
01 May 2019

share this:

The Partnership on AI has announced an initiative to define best practices for transparency in machine learning.

The initiative aims to produce best practices around the considerations, reflections, and documentation necessary to prompt a thoughtful process of creating and understanding machine learning systems that account for how the technology impacts all parties—including the public at large, differentially affected communities, policymakers, and users.

The effort is called ABOUT ML for “Annotation and Benchmarking on Understanding and Transparency of Machine learning Lifecycles”. ABOUT ML will kick off with the publication of “draft v0” recommendations on ML lifecycle transparency this July, followed by successive drafts integrating lessons learned and feedback from the community.

You can read more about ABOUT ML on the Partnership on AI blog.




AIhub Editor is dedicated to free high-quality information about AI.




            AIhub is supported by:


Related posts :



Forthcoming machine learning and AI seminars: May 2021 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 11 May and 30 June 2021.
11 May 2021, by

Artificial intelligence could be used to triage patients suspected at risk of early stage oesophageal cancer

Find out how Cambridge researchers are using deep-learning to assist pathologists.
10 May 2021, by

Counterfactual predictions under runtime confounding

We propose a method for using offline data to build a prediction model that only requires access to the available subset of confounders at prediction time.
07 May 2021, by


















©2021 - Association for the Understanding of Artificial Intelligence