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Justin Wheeler: What does AI Alignment mean in open source?
news.movim.eu / PlanetGnome • 8:00 • 5 minutes
In July, I shared an update about my new role as AI Alignment Community Architect at Red Hat , focused on Fedora . This post clarifies what that role entails, why "AI alignment" is more than a technical term, and how I plan to support the Fedora community in leveraging LLM-gen-AI.
I organized this blog post into three sections:
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Reclaiming AI Alignment : The meaning behind the term.
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Model builder engagement : Why do we need bidirectional feedback loops?
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My work in Fedora : Upcoming priorities this quarter and the path forward.
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Note
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I use the term “LLM-gen-AI” throughout this article aligned to the Software Freedom Conservancy’s recommendations . This is in support of addressing this technology in community-first terms. |
Reclaiming AI Alignment: The meaning behind a term
As I defined my new role, I carefully considered the title. The Fedora community sentiment toward LLM-gen-AI is deeply divided: some rally against it, while others push for rapid adoption without wider community consensus. I needed a title that signaled a neutral, balanced approach. My mandate at Red Hat is to support upstream projects in adopting AI, focused primarily on Fedora. Working in the “AI” space at Red Hat is fascinating because I am exposed to diverse ways that customers use and deploy innovative open source technology. Additionally, Red Hat provides real value by supporting customers in their “hybrid AI” journeys. Many of my Red Hat colleagues consistently push for more Free Software and open source answers for customers and enterprises building infrastructure to support AI inference, local models, and more. Red Hat has a responsibility to innovate when new technology opportunities emerge that its customers are acting upon. With this in mind, I am more convinced that LLM-gen-AI is something that open source maintainers and contributors can leverage for real workloads. There are opportunities to solve real problems and routine maintenance tasks for complex projects. LLM-gen-AI used right can support maintainers in automating boring, cyclical work so they can focus more on the exciting work of innovation and focused engineering efforts within their projects. Or even going outside and spending time offline.
However, I distinguish "AI alignment" from "AI adoption." "AI adoption" communicates a pre-defined, non-negotiable stance where the goal is simply to increase usage. "AI alignment," by contrast, communicates that LLM-gen-AI use exists on a spectrum.
My intent in Fedora is not to insist, but to negotiate and compromise. I want to align how our community uses these tools with our existing values, norms, and culture.
CHAOSS AI Alignment Working Group & model builders
My approach to "AI alignment" is influenced by the CHAOSS Project. I co-chair the CHAOSS AI Alignment Working Group with Emma Irwin and Coraline Ada Ehmke. Recently, Emma, Adrian Edwards, and I presented at FOSSY 2026 on this topic in greater detail. This experience frames my definition of "alignment" as I move forward in my new role.
Traditionally, "AI alignment" is a term used by model builders to describe processes where communities have little influence. As LLM-gen-AI grows in widespread use, the power gap between those model builders and the communities they impact will widen. This creates an unsustainable dynamic in the safety and well-being of our communities with these new tools.
We need more than just "AI adoption". We need bidirectional feedback loops. Free Software communities deserve a seat at the table. This is not just for iterating on model development, but for defining how we integrate LLM-gen-AI tools sustainably and responsibly.
To achieve this, we (i.e., open source community citizens) need a stronger value proposition for engagement with model builders. Whether commercial or altruistic, we must persuade model builders that a community-driven approach is a critical advantage. If we refuse to engage, we risk Free Software values and culture being shut out of conversations entirely. So, I believe it is better to be an advisor than a bystander. Advising is its own form of open source contribution. Therefore, I lend my support toward the wider notion that "AI alignment" fosters two-way conversations that ensure model builders actually listen to the communities their work impacts.
My work in Fedora: What I hope to work on next
September 2026 is my first full month in this role. While there is still much to define, a few priorities have emerged. Here is where I will be focusing my initial energy:
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Migrating "This Week in Fedora" : Aurélien Bompard ( @abompard ) created a useful tool for AI-curated, human-reviewed weekly summaries . Currently, it lives on a personal fedorapeople.org space. I am beginning to work with Aurélien to migrate this to a weekly WordPress article on the Fedora Community Blog, since we first began talking about this in July. I am already submitting pull requests to support this transition.
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Launching LLM-gen-AI Agent Skills : Together with the AI/ML SIG, we are building the Fedora Agent Skills Library . These define best practices for using LLM-gen-AI agents to automate routine maintenance. My immediate task is community architecture: setting up the repository for contributions and improving documentation so these skills are accessible and scalable.
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AI/ML SIG Documentation : As the Fedora Docs Team works to identify "team captains" for specific topics, I am volunteering to lead AI/ML SIG documentation. This involves importing or deprecating content in the Quick Docs site and migrating extensive Wiki documentation to the Fedora Docs site, creating a central, discoverable home for all things LLM-gen-AI in Fedora.
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An update to the Fedora AI-Assisted Contributions Policy? : Honestly, I am not sure about this one yet. But it seems apparent to me that eleven months after the Fedora Council first introduced the Fedora AI-Assisted Contributions Policy , it is time for an update. Nearly a full year of lived experience has happened within the framework of this lightweight policy. Furthermore, a coalition of Fedora contributors agree that an update is needed, but there is not a single, shared view of what those updates should be. It will take more community input and feedback to shape the next iteration to that policy. I anticipate facilitating inclusive future community conversations about what those changes should be.
I am both excited and nervous to work with fellow Fedorans on these initiatives. I know there are strongly-held opinions on both sides of the LLM-gen-AI debate. ( An understatement! ) I accepted this role because I believe participation is more constructive than standing on the sidelines. My goal is to navigate this work in alignment with Fedora’s Four Foundations: Freedom, Friends, Features, First.
Until next time!
Since March 2026, I invested a lot of time into migrating my blog to a new publishing system and improving the website user interface. However, now that my site is fully functioning on a technical level, it is refreshing to begin writing content again here. There is more to come from me in this space. Expect new content about my work in Fedora and the LLM-gen-AI space, and other open source and personal items too.