Pushpakumara, T D C and Ahsan, Fazeela Jameel (2025) Transforming Industries through AI and Emerging Technologies: Literature Review of Opportunities, Challengers, Responsibilities, and Strategies. International Journal of Innovative Science and Research Technology, 10 (1): 25JAN1299. pp. 1861-1880. ISSN 2456-2165

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Abstract

Artificial Intelligence (AI) has emerged as a transformative force, reshaping industries through innovation,
operational efficiency, and enhanced customer engagement. This systematic literature review investigates AI adoption across
various sectors, with a focus on tourism and its intersection with sustainability, ethics, and emerging technologies. Leveraging
a robust PRISMA methodology, 115 studies were reviewed to examine opportunities, challenges, and strategies for responsible
AI integration. The findings highlight AI's potential to drive innovation, optimize resource use, and foster sustainability. In
tourism, AI-powered tools like chatbots and predictive analytics enhance customer experiences and promote eco-friendly
practices. However, adoption is hindered by challenges such as ethical concerns, data privacy, cultural barriers, infrastructure
limitations, and socio-economic disparities. Addressing these challenges requires interdisciplinary collaboration, ethical
frameworks, and strategic alignment with sustainability metrics. The study underscores the importance of balancing
innovation with ethical responsibility by integrating anticipatory ethics, human oversight, and stakeholder engagement.
Transparent practices and inclusive policies are pivotal for fostering trust and equitable AI adoption. The review concludes
that responsible AI integration can catalyze sustainable development and socio-economic equity while ensuring technological
advancements benefit diverse industries and communities. Future research should focus on scalability, inclusivity, and the
ethical implications of AI in emerging global contexts.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Editor IJISRT Publication
Date Deposited: 18 Mar 2025 09:02
Last Modified: 18 Mar 2025 09:02
URI: https://eprint.ijisrt.org/id/eprint/27

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