JOIN THE DISCUSSION ON Open Source AI

We’re driving a multi-stakeholder process to define an “Open Source AI” and you can be part of the conversation.

Why Artificial Intelligence needs to be Open Source?

The Open Source principles have demonstrated that massive benefits accrue to everyone when you remove the barriers to learning, using, sharing and improving software systems. The benefits can be distilled to autonomy, transparency, and collaborative improvement. Everyone needs these benefits in artificial intelligence. We need essential freedoms to enable users to build and deploy AI systems that are reliable and transparent.

Why do we need a new Definition of Open Source just for AI?

AI systems are growing more complex and pervasive every day. The traditional view of Open Source code and licenses when applied to AI components are not sufficient to guarantee the freedoms to use, study, share and modify the systems. It is time to address the question: What does it mean for an AI system to be Open Source?

How will we define Open Source AI?

The Open Source Definition is a practical guide to judge if legal documents grant the four freedoms to software, following the principles of the GNU Manifesto. More than two decades passed between Stallman writing the GNU Manifesto and Perens writing the Open Source Definition. For AI we can’t wait decades for someone to produce a new document. 

The Open Source Initiative started coordinating in 2022 a global process to sharpen collective knowledge and identify the principles  that lead to a widely adopted Open Source AI Definition.

What makes the Open Source AI Definition

The preamble

Contains the basic principles for an Open Source AI, the policy objectives and what’s not included in the Definition.

Open Source AI

A synthetic list of freedoms that are expected to be available to users and developers of AI systems.

The checklist

A set of points used to evaluate legal documents in light of the list of expected freedoms.

The Open Source AI Definition Process

See all we achieved in 2023

June 7, 2023

Open call for papers, webinar series

Collect ideas from the community describing precise problem areas in AI and collect suggestions for solutions.

June 21
San Francisco, CA

Kickoff meeting

A small gathering at the Mozilla HQ to set the ground rules, create the first working document of a Definition of Open Source AI.

July 14
Portland, OR

Community review #1

Meeting at birds of a feather in Portland during the FOSSY event from the Software Freedom Conservancy.

July 27-28
Geneva, Switzerland

Community review #2

Meeting at birds of a feather at the Linux Foundation Open Source Congress in Geneva.

September-November
Online

Deep Dive Webinars

Host the online presentations from experts approved by the Deep Dive program committee

September 19-21
Bilbao, Spain

Community review #3

Meeting at birds of a feather in Bilbao, Spain around the Linux Foundation Open Source Summit.

October 17
Raleigh, NC

Release candidate 1

Meeting at All Things Open at OSI’s day event. We’ll collect all the feedback and prepare a release candidate of the Open Source AI Definition.

Oct 24, 2023

Community review #4

Workshop to review the latest draft of the Definition at the Linux Foundation Members Summit in Monterey, CA.

Nov 14, 2023

Community review #5

Digital Public Goods Alliance annual members meeting in Addis Ababa, Ethiopia.

Dec 12, 2023

Community review #6

Workshop at the Linux Foundation’s AI.dev (Open Source GenAI & ML Summit) in Palo Alto, California.

February 2024

Call For Volunteers
+ Activity Feedback and Revision

Bi-Weekly Virtual Public Town halls.

Draft 0.0.5

March

Virtual System Review Meetings Begin

Draft 0.0.6

April

Virtual System Review Meetings Continue

Draft 0.0.7

May

Virtual System Review Meetings END

Draft 0.0.8

June

Feedback Informs Content of OSI In-Person Stakeholder Meeting

RC 1

October

Monthly Virtual Meetings

Release version 1.0

Ongoing

It doesn’t end with v 1.0

We’ll need to define rules for maintenance and review of the Definition. The OSI board of directors approved the creation of a new committee to oversee the development of the Open Source AI Definition, approve version 1.0 and set rules for the maintenance of Definition.

Who is involved in this process?

🛠️ System Creators

Makes AI system and/or component that will be studied, used, modified, or shared through an open source license.

📃 License Creators

Writes or edits the open source license to be applied to the AI system or component; includes compliance.

🏛️ Regulators

Writes or edits rules governing licenses and systems (e.g. government policy-maker).

🎓 Licensees

Seeks to study, use modify, or share an open source AI system (e.g. AI engineer, health researcher, education researcher)

⌨️ End Users

Consumes a system output, but does not seek to study, use, modify, or share the system (e.g., student using a chatbot to write a report, artist creating an image)

🙇 Subjects

Affected upstream or downstream by a system output without interacting with it intentionally; includes advocates for this group (e.g. people with loan denied, or content creators).

Open Source AI Definition Open to public comments

RC1

  • Expected outcome of in-person meeting end May/early June!
  • The draft is completed in all its parts
  • The draft is supported by at least 2 representatives for each of the 6 stakeholder groups

Stable version

  • Expected outcome of in-person and online meetings through the summer/early autumn
  • The draft is endorsed by at least 5 reps for each of the stakeholder groups
  • Announced in late October

Join us in our public Town Halls

Our Executive Director, Stefano Maffulli is hosting bi-weekly public Town Halls to share process updates and have an open discussion with participants. Join us live!

Upcoming Town Halls

Previous Town Halls (Watch the recordings)


Previous Work

Deep Dive AI Webinar Series 2023

Speakers from law, academia, enterprise, NGOs, and the OSS community presented webinars addressing pressing issues and potential solutions in our use and development of AI systems. 

All Things Open – Deep Dive AI 2023

After two community reviews and a first pass at comments, we released a new draft version. The base is a preamble to explain “why Open Source AI”, followed by the beginning of a formal definition.

2022 Deep Dive AI Podcasts

We released a series of 6 podcasts with experts on the matter to discuss all various aspects of Open Source AI.

2022 Panel Discussions

Four experts in Business, Society, Legal, Academia further dissect the issues posed by AI systems.

Deep Dive AI: The 2023 Report Update

By bringing together experts from various domains, the OSI is actively contributing to the discourse on Open Source AI, laying the groundwork for a future where the principles of openness, transparency, and collaboration continue to underpin the evolution of cutting-edge technologies for the benefit of society as a whole.

Deep Dive AI: The 2022 Report

What does it mean for an AI system to be Open Source?

This report summarizes the discussions above and underscores what we’ve learned about the challenges and opportunities for the Open Source movement posed by AI.

Deep Dive Report 2022

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