Integrating AI: The Future of the Transport Sector in Developing Countries

Peter Kobena Eduah; Acheampong Owusu; Obed Kwame Adzaku Penu; Richard Boateng

doi:10.4324/9781003595670-4

Integrating AI: The Future of the Transport Sector in Developing Countries

Peter Kobena Eduah, Acheampong Owusu, Obed Kwame Adzaku Penu, Richard Boateng

University of Ghana Business School

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter explores the transformative potential of artificial intelligence (AI) in the transport sector of developing countries, emphasizing its application across various domains such as traditional taxi services, delivery agencies, the gig economy, and road network management. AI integration offers significant improvements in efficiency, safety, and sustainability, addressing the critical challenges of congestion, accidents, and pollution. However, the adoption of AI in these regions faces hurdles like technological readiness, regulatory frameworks, and ethical considerations. The chapter also delves into the challenges and barriers to AI adoption and provides policy recommendations to foster a more equitable and effective transport system. By leveraging AI technologies, developing countries can enhance their transport infrastructure, contributing to broader economic and social development goals.

Original language	English
Title of host publication	AI and Society
Subtitle of host publication	Navigating Policy, Ethics, and Innovation in a Transforming World
Publisher	Taylor and Francis
Pages	71-84
Number of pages	14
ISBN (Electronic)	9781040332597
ISBN (Print)	9781032978345
DOIs	https://doi.org/10.4324/9781003595670-4
Publication status	Published - 1 Jan 2025
Externally published	Yes

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Integrating AI: The Future of the Transport Sector in Developing Countries

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