The Triple Helix of University-Government-Industry Partnerships and the Development of AI

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Bibliographic Details
Title: The Triple Helix of University-Government-Industry Partnerships and the Development of AI
Language: English
Authors: Mohieddine Rahmouni, Mossab Saud Alholiby, Ben Othman Soufiene
Source: IGI Global. 2026.
Availability: IGI Global. 701 East Chocolate Avenue Suite 200, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; e-mail: cust@igi-global.com; Web site: http://www.igi-global.com/
Peer Reviewed: Y
Page Count: 324
Publication Date: 2026
Intended Audience: Practitioners; Researchers
Document Type: Book
Collected Works - General
Education Level: Higher Education
Postsecondary Education
Descriptors: Partnerships in Education, Higher Education, Universities, School Business Relationship, Government School Relationship, Artificial Intelligence, Technology Uses in Education, Technological Advancement, Governance, Electronic Learning, Program Administration, Public Policy
DOI: 10.4018/979-8-3373-7620-2
ISBN: 979-83-373-7620-2
Abstract: The development of AI is shaped by the interactions between universities, governments, and businesses, often described as the Triple Helix model. Through this framework, academic research reveals new breakthroughs, public policy establishes ethical and regulatory directions, and business transform innovations into real-world applications. The convergence of these three sectors increases AI advancement while addressing societal challenges related to governance, workforce development, and responsible usage. Further research may highlight the importance of collaborative partnerships in shaping the future of intelligent technologies. "The Triple Helix of University-Government-Industry Partnerships and the Development of AI" examines how collaborative models between academia, public institutions, and private enterprises shape the development, governance, and application of AI. It examines AI's transformative role in research, policy, and industry. This book covers topics such as machine learning, project management, and public policy, and is a useful resource for educators, government officials, business owners, academicians, researchers, and scientists.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED680248
Database: ERIC
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