ΑΙhub.org
 

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




            AIhub is supported by:


Related posts :



Investigating neural collapse in deep classification networks

The winners of an outstanding paper award at ICLR 2022 tell us about their work on understanding deep neural networks.
18 May 2022, by

Should I use offline RL or imitation learning?

In this blog post, we aim to understand if, when and why offline RL is a better approach for tackling a variety of sequential decision-making problems.
17 May 2022, by

Watch the sessions from AI UK

The recordings of the sessions from the AI UK conference are now available for all to watch.
16 May 2022, by

Launch of a new standard for AI security in Singapore

The standard aims to guide AI practitioners in dealing with malicious attacks on AI systems.

Using deep learning to predict physical interactions of protein complexes

A computational tool developed to predict the structure of protein complexes is providing new insights into the biomolecular mechanisms of their function.
podcast

New voices in AI: human-AI collaboration, with Nicolo' Brandizzi

We talk to Nicolo' Brandizzi about his work on human-AI collaboration.
11 May 2022, by





©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association