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The Open Source Initiative (OSI) is running a blog series to introduce some of the people who have been actively involved in the Open Source AI Definition (OSAID) co-design process. The co-design methodology allows for the integration of diverging perspectives into one just, cohesive and feasible standard. Support and contribution from a significant and broad group of stakeholders is imperative to the Open Source process and is proven to bring diverse issues to light, deliver swift outputs and garner community buy-in.

This series features the voices of the volunteers who have helped shape and are shaping the Definition.

Meet Mark Collier

What’s your background related to Open Source and AI?

I’ve worked in Open Source most of my career, over 20 years, and have found it to be one of the greatest, if not the greatest, drivers of economic opportunity. It creates new markets and gives people all over the world access to not only use but to influence the direction of technologies. I started the OpenStack project and then the OpenStack Foundation, and later the Open Infrastructure Foundation. With members of our foundation from over 180 countries, I’ve seen firsthand how Open Source is the most efficient way to drive innovation. You get to crowdsource ideas from people all over the world, that are not just in one company or just in one country. We’ve certainly seen that with infrastructure in the cloud computing/edge computing era. AI is the next generation wave, with people investing literally trillions of dollars in building infrastructure, both physical and the software being written around it. This is another opportunity to embrace Open Source as a path to innovation. 

Open Source drives the fastest adoption of new technologies and gives the most people an opportunity to both influence it and benefit economically from it, all over the world. I want to see that pattern repeat in this next era of AI.

What motivated you to join this co-design process to define Open Source AI?

I’m concerned about the potential of there not being credible Open Source alternatives to the big proprietary players in this massive next wave of technology. It will be a bad thing for humanity if we can only get state-of-the-art AI from two or three massive players in one or two countries. In the same way we don’t want to see just one cloud provider or one software vendor, we don’t want any sort of monopoly or oligopoly in AI; That really slows innovation. I wanted to be part of this co-design process because it’s actually not trivial to apply the concept of Open Source to AI. We can carry over the principles and freedoms that underlie Open Source software, like the freedom to use it without restriction and the ability to modify it for different use cases, but an AI system is not just software. A whole debate has been stirred up about whether data needs to be released and published under an Open Source friendly license to be considered Open Source AI. That’s just one consideration of many that I wanted to contribute to. 

We have a very impressive group of people with a lot of diverse backgrounds and opinions working on this. I wanted to be part of the process not because I have the answers, but because I have some perspective and I can learn from all the others. We need to reach a consensus on this because if we don’t, the meaning of Open Source in the AI era will get watered down or potentially just lost all together, which affects all of Open Source and all of technology. 

Can you describe your experience participating in this process? What did you most enjoy about it and what were some of the challenges you faced?

The process started as a mailing list of sorts and evolved to more of an online discussion forum. Although it hasn’t always been easy for me to follow along, the folks at OSI that have been shepherding the process have done an excellent job summarizing the threads and bringing key topics to the top. Discussions are happening rapidly in the forum, but also in the press. There are new models released nearly every day it seems, and the bar for what are called Open Source models is causing a lot of noise. It’s a challenge for anybody to keep up but overall I think it’s been a good process.

Why do you think AI should be Open Source?

The more important a technology is to the future of the economy and the more a technology impacts our daily lives, the more critical it is that it be Open Source. For economic and participation reasons, but also for security. We have seen time and time again that transparency and openness breeds better security. With more mysterious and complex technologies such as AI, Open Source offers the transparency to help us understand the decisions the technology is making. There have been a number of large players who have been lobbying for more regulation, making it more difficult to have Open Source AI, and I think that shows a very clear conflict of interest. 

There is legislation out there that, if it gets passed, poses a real danger to not just Open Source AI, but Open Source in general. We have a real opportunity but also a real risk of there being conscious concentrations of power if state-of-the-art AI doesn’t fit a standard definition of Open Source. Open Source AI continues to be neck and neck with the proprietary models, which makes me optimistic.

Has your personal definition of Open Source AI changed along the way? What new perspectives or ideas did you encounter while participating in the co-design process?

My personal definition of Open Source AI is not set in stone even having been through this process for over a year. Things are moving so quickly, I think we need to be careful that perfect doesn’t become the enemy of good. Time is of the essence as the mainstream media and the tech press report on models that are trained on billions of dollars worth of hardware, claiming to be Open Source when they clearly are not. I’ve become more willing to compromise on an imperfect definition so we can come to a consensus sooner.

What do you think the primary benefit will be once there is a clear definition of Open Source AI?

All the reasons people love Open Source are inherently the same reasons why people are very tempted to put an Open Source label on their AI; trust, transparency, they can modify it and build their business on it, and the license won’t be changed. Once we finalize and ratify the definition, we can start broadly using it in practice. This will bring some clarity to the market again. We need to be able to point to something very clear and documented if we’re going to challenge a technology that has been labeled Open Source AI. Legal departments of big companies working on massive AI tools and workloads want to know that their license isn’t going to be pulled out from under them. If the definition upholds the key freedoms people expect from Open Source, it will lead to faster adoption by all.  

What do you think are the next steps for the community involved in Open Source AI?

I think Stefano from the OSI has done a wonderful job of trying to hit the conference circuit to share and collect feedback, and virtual participation in the process is still key to keeping it inclusive. I think the next step is building awareness in the press about the definition and market testing it. It’s an iterative process from there. 

How to get involved

The OSAID co-design process is open to everyone interested in collaborating. There are many ways to get involved:

• Join the working groups: be part of a team to evaluate various models against the OSAID.
• Join the forum: support and comment on the drafts, record your approval or concerns to new and existing threads.
• Comment on the latest draft: provide feedback on the latest draft document directly.
• Follow the weekly recaps: subscribe to our newsletter and blog to be kept up-to-date.
• Join the town hall meetings: participate in the online public town hall meetings to learn more and ask questions.
• Join the workshops and scheduled conferences: meet the OSI and other participants at in-person events around the world.

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