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更新时间 2024-11-13 17:47:04
Checklist to evaluate machine learning systems – Open Source Initiative
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Learn more about OSI’s mission, history, people, and programs.
Explore the list of OSI-Approved licenses and learn more about the license review process.
Learn more about Open Source AI, how do we define it, and its benefits to society.
Advancing Open Source through policy, regulation, and standards.
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Connecting the people and organizations that build and support Open Source.
Explore the latest news, blog posts, newsletters, press mentions, and events from the OSI.
This checklist is based on the paper The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI – DOI published Mar 21, 2024. The Model Openness Framework (MOF) is implemented on the Model Openness Tool website (MOT).
This Checklist was developed by volunteers during the co-design process to help reviewers of AI systems to identify and rank the components required to exercise the basic freedoms of Open Source AI. It’s been further refined via public comments, on the forum and on the public draft on hackmd.
This document should be seen as part of the definitional process, a learning tool: The Checklist is not an operating manual to evaluate Open Source AI.
The MOF classifies systems in three degrees of availability of components, from some (Class III, Open Model) to all (Class I, Open Science). When using the MOF, one can think of the requirements of the “preferred form to make modifications to a ML system” as a bar overlayed on the MOF range of classes.
For more details, see also the Open Source AI FAQ.
The other components listed in the Model Openness Framework are optional.
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The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License.Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy
Explore the list of OSI-Approved licenses and learn more about the license review process.
Learn more about Open Source AI, how do we define it, and its benefits to society.
Advancing Open Source through policy, regulation, and standards.
Supporting research, education, and knowledge about Open Source.
Connecting the people and organizations that build and support Open Source.
Explore the latest news, blog posts, newsletters, press mentions, and events from the OSI.
Learn more about OSI’s mission, history, people, and programs.
Explore the list of OSI-Approved licenses and learn more about the license review process.
Learn more about Open Source AI, how do we define it, and its benefits to society.
Advancing Open Source through policy, regulation, and standards.
Supporting research, education, and knowledge about Open Source.
Connecting the people and organizations that build and support Open Source.
Explore the latest news, blog posts, newsletters, press mentions, and events from the OSI.
This checklist is based on the paper The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI – DOI published Mar 21, 2024. The Model Openness Framework (MOF) is implemented on the Model Openness Tool website (MOT).
This Checklist was developed by volunteers during the co-design process to help reviewers of AI systems to identify and rank the components required to exercise the basic freedoms of Open Source AI. It’s been further refined via public comments, on the forum and on the public draft on hackmd.
This document should be seen as part of the definitional process, a learning tool: The Checklist is not an operating manual to evaluate Open Source AI.
The MOF classifies systems in three degrees of availability of components, from some (Class III, Open Model) to all (Class I, Open Science). When using the MOF, one can think of the requirements of the “preferred form to make modifications to a ML system” as a bar overlayed on the MOF range of classes.
For more details, see also the Open Source AI FAQ.
The other components listed in the Model Openness Framework are optional.
Receive the top news and articles of the Open Source ecosystem in your inbox, the first week of every month.
Please leave this field empty.
The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License.Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy
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