IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Theoretical Foundations of AI and Sustainability in TV

Theoretical Foundations of AI and Sustainability in TV
View Sample PDF
Author(s): Poornima Mahesh (N.R.B. College, University of Mumbai, India)
Copyright: 2025
Pages: 22
Source title: Integrating AI and Sustainability in Technical and Vocational Education and Training (TVET)
Source Author(s)/Editor(s): Ali Sorayyaei Azar (University of Malaya, Malaysia), Shashi Kant Gupta (Eudoxia Research University, USA), Hamed Taherdoost (Department of Arts, University Canada West, Canada & GUS Institute, Global University Systems, UK & College of Technology and Engineering, Westcliff University, USA & Gisma University of Applied Sciences, Germany & Q Minded, Quark Minded Technology, Canada & Research and Development Department, Hamta Business Corporation, Canada)and Fahima Alhamaty (Harvard Business Review, Kuwait)
DOI: 10.4018/979-8-3373-1142-5.ch003

Purchase

View Theoretical Foundations of AI and Sustainability in TV on the publisher's website for pricing and purchasing information.

Abstract

Artificial intelligence (AI) and sustainability in technical and vocational education and training (TVET) looks at methods of technology usage to develop educational strategies that progress AI while working toward sustainable development. The analysis of artificial intelligence (AI) in vocational education and training (TVET) examines ethical elements and essential policy requirements for accomplishing effective deployment. Educational practices increasingly under AI control demand immediate ethical solutions to address data privacy problems and avoid algorithmic bias as well as combat inequalities. The current chapter studies successful implementations of AI integration within vocational learning programs together with approaches which preserve ethical criteria. The chapter recommends working together between educators and policymakers together with industry representatives to optimize the potential value of artificial intelligence in vocational education.

Related Content

Sadhana Singh, Charu Khan. © 2026. 38 pages.
Wasswa Shafik. © 2026. 38 pages.
Mustafa Kayyali. © 2026. 22 pages.
Muhammad Usman Tariq. © 2026. 28 pages.
Mustafa Kayyali. © 2026. 22 pages.
Sakshi Mann, Shikha Mann, Tausif Mistry. © 2026. 38 pages.
Mustafa Kayyali. © 2026. 24 pages.
Body Bottom