Why Companies "Democratise" Artificial Intelligence: The Case of Open Source Software Donations
Not on the map. Why?
Abstract (arXiv)
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 does this term mean and why do they do it? As the impact of AI on society and the economy grows, understanding the commercial incentives behind AI democratisation efforts is crucial for ensuring these efforts serve broader interests beyond commercial agendas. Towards this end, this study employs a mixed-methods approach to investigate commercial incentives for 43 AI OSS donations to the Linux Foundation. It makes contributions to both research and practice. It contributes a taxonomy of both individual and organisational social, economic, and technological incentives for AI democratisation. In particular, it highlights the role of democratising the governance and control rights of an OSS project (i.e., from one company to open governance) as a structural enabler for downstream goals, such as attracting external contributors, reducing development costs, and influencing industry standards, among others. Furthermore, OSS donations are often championed by individual developers within companies, highlighting the importance of the bottom-up incentives for AI democratisation. The taxonomy provides a framework and toolkit for discerning incentives for other AI democratisation efforts, such as the release of AI models. The paper concludes with a discussion of future research directions.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 18 of its 157 references that are in the map. First posted on arXiv 26 Sep 2024.
Builds on
18 of 157 references.
References · 18
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6 more
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Built on by
Citing papers per year: 2024: 1; 2025: 3.
4 papers.
- 2024Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformerscited by 3
- 2025A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projectscited by 1
- 2025Opening the Scope of Openness in AIcited by 0
- 2025The Right to Be Remembered: Preserving Maximally Truthful Digital Memory in the Age of AIcited by 0
- 2025The Right to Be Remembered: Preserving Maximally Truthful Digital Memory in the Age of AI17 Oct 2025
- 2025A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects29 Sep 2025
- 2025Opening the Scope of Openness in AI9 May 2025
- 2024Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers23 Oct 2024