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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 David Manset

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

My background in Open Source and AI is shaped by my ongoing experience as the senior coordinator of the Open Source Ecosystem Enabler (OSEE) project at the United Nations International Telecommunication Union (ITU), a project developed in collaboration with the UN Development Program and under the funding of the EU’s Directorate-General for International Partnerships, to support countries developing digital public goods and services using Open Source. In this capacity, a significant part of my work involves driving initiatives related to Open Source for various types of use cases in the public sector.

Witnessing the birth of an Open Source AI definition during the DPGA Annual Members meeting in 2023, I have since then been contributing to the Open Source AI agenda, and more recently to various Open Source AI initiatives within the ITU Open Source Program Office (OSPO). Additionally, I co-lead the Open Source AI for Digital Public Goods (OSAI4DPG) track at AI for Good, focusing on creating AI-driven public goods that are both accessible and affordable.

One of my recent achievements includes co-organizing the AIntuition hackathon aimed at developing cost-effective Open Source AI solutions. This event focused on utilizing Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) to create a basic yet understandable and adaptable prototype implementation for public administration. My efforts in this area highlight my commitment to practical and usable AI tools that meet public sector needs.

Prior to my role at ITU, I worked in the private sector, where I developed AI services that enhanced healthcare services and protected patients/citizens. This experience gives me a well-rounded perspective on implementing and scaling Open Source AI technologies for public benefit.

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

My motivation to participate in this co-design process for defining Open Source AI is deeply rooted in my former experiences in software development and as the coordinator of the OSEE project, where my focus lies in enhancing digital public services and developing digital public goods. Open Source AI indeed presents a unique opportunity, especially for the public sector, to adopt cost-effective and scalable solutions that can significantly improve public services. However, to harness these benefits, it is imperative to establish a clear, standardized and consensual definition of Open Source AI. This definition will serve as a foundational guideline, ensuring transparency and understanding of the specific types of AI technologies being developed and implemented.

Moreover, my involvement is driven by the critical work of the ITU OSPO, particularly in developing Open Source AI solutions tailored for low- and middle-income countries (LMICs). These regions often face challenges such as scarce resources and limited representation in global AI training processes. By contributing to the development of Open Source AI, I aim to support these countries in accessing affordable and effective AI technologies, thereby promoting greater equity in AI development and utilization. This effort is not just about technology but also about fostering global inclusivity and ensuring that the benefits of AI are accessible to all.

Why do you think AI should be Open Source?

AI should be Open Source for several compelling reasons, especially when considering its potential impact on global development and governance. First, transparency, traceability and explainability are crucial, particularly in digital public services. Open Source AI allows public scrutiny of the algorithms and models used, ensuring that decision-making processes are transparent and accountable. This is vital for building trust in AI systems, especially in sectors like healthcare, education and public administration, where decisions can significantly impact individuals and communities.

Second, accessibility and affordability are key benefits for LMICs. Open Source AI lowers the barriers to entry, enabling these countries to access cutting-edge technologies without the prohibitive costs associated with proprietary systems. This democratization of AI technology ensures that even resource-constrained nations can harness AI’s transformative potential. Moreover, Open Source AI fosters greater representation and competition for LMICs in the global AI landscape. By contributing to and benefiting from Open Source projects, these countries can influence AI development and ensure that their specific needs and contexts are considered.

Finally, as AI increasingly becomes a foundational technology, Open Source serves as a universal resource that can be adapted and improved by anyone, promoting innovation and inclusivity across the globe.

What new perspectives or ideas did you encounter while participating in the co-design process?

Participating in the co-design process introduced me to several new perspectives and ideas that have deepened my understanding of the role of Open Source AI, particularly in supporting global development. One key insight is the realization that LMICs would significantly benefit from having access to an Open Source AI reference implementation. This concept, which we are actively working on, would provide these countries with a practical, ready-to-use model for AI development, helping them overcome resource constraints and accelerate their AI initiatives.

Another important perspective is that Open Source AI requires solid foundational elements—an Open Source mindset, adherence to best practices, and generalized policies must be embedded across all organizations involved. This is not just about technology; it’s about fostering a culture and infrastructure that supports Open Source principles at every level. Notably, ITU is now coordinating the definition of a common policy framework for United Nations Open Source initiatives, which will be crucial in guiding future Open Source AI developments. This framework will ensure that Open Source AI projects are supported by robust Open Source policies, promoting sustainable and equitable technological advancement worldwide.

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

The primary benefit of a clear definition of Open Source AI will be the establishment of a unified framework that ensures transparency, accessibility, and ethical standards in AI development. This clarity will enable broader adoption across various sectors, particularly in LMICs, by providing a reliable foundation for building and implementing AI technologies. It will also foster global collaboration, ensuring that AI advancements are inclusive and equitable, while promoting innovation through open contributions, ultimately leading to more trustworthy and widely beneficial AI solutions.

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

Once a global standard definition of Open Source AI is established, the Open Source AI community should focus on several key steps to ensure its widespread adoption and effective implementation. These include developing comprehensive guidelines and best practices, creating reference implementations to help organizations, particularly in LMICs, adopt the standard, and enhancing global collaboration through international networks and partnerships. Additionally, launching education and awareness campaigns will be crucial for informing stakeholders about the benefits and practices of Open Source AI. Establishing a governance and compliance framework will help maintain the integrity of AI projects, while supporting policy development and advocacy will ensure alignment with national and international regulations. Finally, fostering innovation and research through funding, hackathons, and collaborative platforms will drive ongoing advancements in Open Source AI. These steps will help build a robust, inclusive, and impactful Open Source AI ecosystem that benefits societies globally.

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 forum: share your comment on the drafts.
• Leave comment on the latest draft: provide precise feedback on the text of the latest draft.
• Follow the weekly recaps: subscribe to our monthly newsletter and blog to be kept up-to-date.
• Join the town hall meetings: we’re increasing the frequency to weekly meetings where you can learn more, ask questions and share your thoughts.
• Join the workshops and scheduled conferences: meet the OSI and other participants at in-person events around the world.

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