This chapter explores the critical enhancement of Artificial Intelligence (Al) innovation and technology transfer within the higher education sector in the Arab region, emphasizing the indispensable role of AI in fostering technological advancement and economic development. It underscores the significance of Intellectual Property (IP) management—particularly in patent mining, filing and exploitation—as a core asset for Al-driven startups. A key focus is the need to integrate more Arabic training content in Al to develop generative Al models for Arabic that are competitive with their English counterparts in large language models, natural language processing, and training data. Additionally, the paper highlights the impact of industry collaboration, even on a smaller scale, to ensure the practical relevance of educational content. Furthermore, the paper stresses the importance of establishing dedicated technology transfer units within universities, research institutes, and government entities to facilitate the seamless exchange of knowledge between inventors, researchers, and the commercial sector. Such a mechanism would accelerate the path from innovation to commercialization, particularly in Al, which is poised to dominate research and development in the coming decade. They not only safeguard intellectual property but also cultivate an entrepreneurial spirit among faculty, students, and industry partners. Through policy recommendations and strategic frameworks, this paper outlines a roadmap for embedding IP management, entrepreneurship, and technology transfer into the higher education landscape, transforming academic excellence into tangible societal and economic benefits.

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Boosting AI Innovation, Technology Transfer, and Industry Collaboration in Arab Higher Education

  • Hussein Al-Omari,
  • Isam Zabalawi,
  • Abdallah I. Husein Malkawi,
  • Helene Kordahji

摘要

This chapter explores the critical enhancement of Artificial Intelligence (Al) innovation and technology transfer within the higher education sector in the Arab region, emphasizing the indispensable role of AI in fostering technological advancement and economic development. It underscores the significance of Intellectual Property (IP) management—particularly in patent mining, filing and exploitation—as a core asset for Al-driven startups. A key focus is the need to integrate more Arabic training content in Al to develop generative Al models for Arabic that are competitive with their English counterparts in large language models, natural language processing, and training data. Additionally, the paper highlights the impact of industry collaboration, even on a smaller scale, to ensure the practical relevance of educational content. Furthermore, the paper stresses the importance of establishing dedicated technology transfer units within universities, research institutes, and government entities to facilitate the seamless exchange of knowledge between inventors, researchers, and the commercial sector. Such a mechanism would accelerate the path from innovation to commercialization, particularly in Al, which is poised to dominate research and development in the coming decade. They not only safeguard intellectual property but also cultivate an entrepreneurial spirit among faculty, students, and industry partners. Through policy recommendations and strategic frameworks, this paper outlines a roadmap for embedding IP management, entrepreneurship, and technology transfer into the higher education landscape, transforming academic excellence into tangible societal and economic benefits.