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.
Partnership on AI @pai launches ABOUT ML effort: “Annotation & Benchmarking on Understanding & Transparency of Machine learning Lifecycles” https://t.co/MfQeakcqRQ Fabulous to bring many together on a shared goal @ACM_FCA @compcomcon @MSFTResearch @BradSmi #AetherCommittee @EFF
— Eric Horvitz (@erichorvitz) April 26, 2019
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