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    Artificial Intelligence and Data in Open Source

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    Abstract

    Artificial intelligence (AI) is no different from any other technology domain where OSS dominates. As with other industries, OSS adoption in the AI field has increased the use of open source in products and services, contributions to existing projects, the creation of projects fostering collaboration, and the development of new technologies. 

    Artificial Intelligence and Data in Open Source reviews critical challenges in the open source AI ecosystem, discusses common characteristics across AI and data projects, and presents the role of the LF AI & Data Foundation in empowering innovators and accelerating open source development.

    Author

    • Dr. Ibrahim Haddad, Executive Director of the LF AI & Data Foundation
    • With a foreword by Dr. Seth Dobrin, IBM Global Chief AI Officer
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    More About LF Research

    Open source communities are at the heart of an explosion of technical innovation, where industry leaders, engineers, and end users are collectively creating and improving the digital infrastructure on which the global economy depends.

    With an extensive community of members, connections with thousands of companies, and hundreds of thousands of open source contributors, professionals, solution providers, and users, the Linux Foundation is in a unique position to investigate the growing scale of open source collaboration, and provide insights into emerging technology trends, best practices, and global impact of open source projects.

    By leveraging project databases and networks, and through a commitment to best practices in quantitative and qualitative methodologies, Linux Foundation Research is designed to be the go-to repository for open source insights for the benefit of organizations and governments the world over.

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