First Public Working Draft: Ethical Principles for Web Machine Learning

Ethical Principles for Web Machine Learning

https://www.w3.org/TR/2022/DNOTE-webmachinelearning-ethics-20220628/

Published by
 Web Machine Learning Working Group

Abstract

This document discusses ethical issues associated with using Machine Learning and outlines considerations for web technologies that enable related use cases.

Status of the Document

This section describes the status of this document at the time of its publication. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at https://www.w3.org/TR/. 

This document was published by the Machine Learning Working Group as a Group Draft Note using the Note track. 

This document is for guidance only and does not constitute legal or professional advice. The document will evolve and receives updates as often as needed. The whole document is open for comment and review, but input is particularly sought on Sections 3, 4 and 5. 

Group Draft Notes are not endorsed by W3C nor its Members. 

This is a draft document and may be updated, replaced or obsoleted by other documents at any time. It is inappropriate to cite this document as other than work in progress. 

The W3C Patent Policy does not carry any licensing requirements or commitments on this document. 

This document is governed by the 2 November 2021 W3C Process Document.

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Received on Tuesday, 28 June 2022 07:38:06 UTC