Challenges and Countermeasures for AI Ethics and Privacy Protection in Autonomous Ride-Hailing Platforms

Jingqian Wei (Author)

Guangxi Vocational Normal University, China

Wenji Li (Author)

Guangxi Vocational Normal University, China

Keywords:

Autonomous vehicles, Ride-hailing platforms, AI ethics, Privacy protection, Algorithmic accountability, Data governance

Published

30-01-2026

Abstract

The rapid advancement of autonomous vehicle technology has catalyzed the emergence of autonomous ride-hailing platforms, fundamentally transforming urban mobility paradigms. However, these platforms present unprecedented challenges concerning artificial intelligence ethics and user privacy protection. This paper systematically examines the multifaceted ethical dilemmas and privacy vulnerabilities inherent in autonomous ride-hailing ecosystems. Through comprehensive analysis of current technological implementations and regulatory frameworks, this study identifies five critical challenge domains: algorithmic decision-making transparency, data collection and surveillance concerns, liability attribution complexities, algorithmic bias and discrimination, and cross-border data governance issues. Subsequently, this paper proposes an integrated countermeasure framework encompassing technical solutions, regulatory mechanisms, corporate governance structures, and user empowerment strategies. The findings suggest that addressing these challenges requires collaborative efforts among technology developers, policymakers, and civil society to establish a balanced approach that fosters innovation while protecting fundamental rights. This research contributes to the ongoing discourse on responsible AI deployment in transportation systems and provides actionable recommendations for stakeholders across the autonomous mobility ecosystem.

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Vol. 2 No. 1 (2026)
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How to Cite

Jingqian Wei, & Wenji Li. (2026). Challenges and Countermeasures for AI Ethics and Privacy Protection in Autonomous Ride-Hailing Platforms. Al Lnnovations and Applications, 2(1), 1-13. https://doi.org/10.63944/09h.aia