17 citations · 49 across the 12 of their papers we have counts for
12 papers
Reimagining Open Source and Openness in AI: Co-Creating Responsible Technological Futures
Genevieve Smith, Hiral Patel, Steven Luo +20
Debates over open source and openness in artificial intelligence have intensified as policymakers, researchers, and practitioners grapple with how foundation models should be devel…
A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
Johan Linåker, Cailean Osborne, Jennifer Ding +1
The proliferation of open large language models (LLMs) is fostering a vibrant ecosystem in artificial intelligence (AI). However, the methods of collaboration used to develop open…
A Report on Financial Regulations Challenge at COLING 2025
Keyi Wang, Jaisal Patel, Charlie Shen +9
Financial large language models (FinLLMs) have been applied to various tasks in business, finance, accounting, and auditing. Complex financial regulations and standards are critica…
A Toolkit for Measuring the Impacts of Public Funding on Open Source Software Development
Cailean Osborne, Paul Sharratt, Dawn Foster +1
Governments are increasingly employing funding for open source software (OSS) development as a policy lever to support the security of software supply chains, digital sovereignty,…
Measuring Software Innovation with Open Source Software Development Data
Eva Maxfield Brown, Cailean Osborne, Peter Cihon +4
Existing innovation metrics inadequately capture software innovation, creating blind spots for researchers and policymakers seeking to understand and foster technological innovatio…
Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers
Cailean Osborne, Farbod Daneshyan, Runzhi He +3
Companies, including market rivals, have long collaborated on the development of open source software (OSS), resulting in a tangle of co-operation and competition known as "open so…
Why Companies "Democratise" Artificial Intelligence: The Case of Open Source Software Donations
Cailean Osborne
Companies claim to "democratise" artificial intelligence (AI) when they donate AI open source software (OSS) to non-profit foundations or release AI models, among others, but what…
The Future of Open Human Feedback
Shachar Don-Yehiya, Ben Burtenshaw, Ramon Fernandez Astudillo +17
Human feedback on conversations with language language models (LLMs) is central to how these systems learn about the world, improve their capabilities, and are steered toward desir…
The AI Community Building the Future? A Quantitative Analysis of Development Activity on Hugging Face Hub
Cailean Osborne, Jennifer Ding, Hannah Rose Kirk
Open model developers have emerged as key actors in the political economy of artificial intelligence (AI), but we still have a limited understanding of collaborative practices in t…
Systematic Literature Review of Commercial Participation in Open Source Software
Xuetao Li, Yuxia Zhang, Cailean Osborne +3
Open source software (OSS) has been playing a fundamental role in not only information technology but also our social lives. Attracted by various advantages of OSS, increasing comm…
Public-private funding models in open source software development: A case study on scikit-learn
Cailean Osborne
Governments are increasingly funding open source software (OSS) development to support software security, digital sovereignty, and national competitiveness in science and innovatio…
The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence
Matt White, Ibrahim Haddad, Cailean Osborne +4
Generative artificial intelligence (AI) offers numerous opportunities for research and innovation, but its commercialization has raised concerns about the transparency and safety o…