What AI Asks of Open Access - The Scholarly Kitchen

Open Science 2.0: Building Understanding in an AI-Mediated World - The Scholarly Kitchen

Open Science 2.0 must focus not only on access, but also on trust, interpretation, learning, and effective communication. The challenge facing the scholarly publishing ecosystem is ensuring that what is open is also trustworthy, understandable, and genuinely useful.

Unpacking Open Source Artificial Intelligence: Toward a Framework for Openness in Foundation Models

Openness has long driven innovation in software,9 and AI is no exception.12 While some see openness in foundation models (FMs) as a security threat,18 others argue that restricting access will not meaningfully reduce risk and will limit the benefits of transparency, research, and global participation.3 As the EU AI Act reporting requirements on FMs—also referred to as general-purpose AI models (GPAIMs)—move toward implementation, there is an urgent need for a more nuanced and informed understanding of openness in AI systems.

OpenAccess.ai — Rigorous Open Access Publishing

$20 to submit, free to read. AI peer review. Open to human and machine authors. All articles CC-BY 4.0.

The Arguments Against Open Source AI are Very Bad | Tom Bedor's Blog

The release of Kimi K3 has opened a fresh round of angst and confused discourse. There's a loud cohort of journalists, business leaders, and politicians arguing that open source AI is a dangerous threat. OpenAI's Dean Ball:

AI Use in The Scholarly Kitchen - The Scholarly Kitchen

Some thoughts on the reader response the Scholarly Kitchen has seen regarding AI use by authors, a recent Nature News article on the efficacy of AI detection tools, and why it's important to keep experimenting to figure out what's ethically acceptable.

White Paper on Public AI – Open Future

Today's AI landscape is dominated by a few tech companies. This White Paper presents an alternative: Public AI systems built on transparency, democratic governance, and open access to critical infrastructure.

AI creates asymmetric pressure on Open Source

How Open Source communities can adapt to AI-generated contributions without overwhelming Open Source maintainers

The Open Source AI Definition – 1.0

version 1.0 See FAQsSee list of endorsementsSee ChecklistEndorse the OSAID Preamble Why we need Open Source Artificial Intelligence (AI) Open Source has demonstrated that massive benefits accrue to…

What We're No Longer Seeing: AI and the Invisible Newcomer in Open Source

How AI is absorbing the visible friction that open-source communities have always relied on to see—and welcome—newcomers.

“Wait, not like that”: Free and open access in the age of generative AI

The real threat isn’t AI using open knowledge — it’s AI companies killing the projects that make knowledge free

Governing the scholarly AI Commons – Open Future

New report explores how academic communities can shape AI governance in research and publishing, from regulation to community-led approaches.

AI and the Destruction of the Creative Commons

The balance of software copyright protection and openness has always been fraught with minutiae and detail that bores all but the most nerdy of pedants. Yet, through much effort and 40 years of debate we had reached an equilibrium. Now AI has thrown that out the window.

Open by design: Ai2 brings fully open AI infrastructure online with NSF OMAI | Ai2

Ai2 is bringing NSF OMAI compute online to power a fully open AI research ecosystem, turning national infrastructure investment into reusable models, data, methods, and tools that can accelerate scientific discovery.

Paywall violation ‘eviscerates’ fair use defense: What OpenAI-NYT twist means for publishers

The unsealed material could set a precedent that fuels more lawsuits against AI firms and strengthens publishers hand in licensing talks.