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Algorithmic Decision-Making in AVs: Understanding Ethical and Technical Concerns for Smart Cities

Lee Kuan Yew School of Public Policy, National University of Singapore, 469B Bukit Timah Road, Li Ka Shing Building, Singapore 259771, Singapore
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Sustainability 2019, 11(20), 5791; https://doi.org/10.3390/su11205791
Received: 7 August 2019 / Revised: 4 October 2019 / Accepted: 16 October 2019 / Published: 18 October 2019
Autonomous Vehicles (AVs) are increasingly embraced around the world to advance smart mobility and more broadly, smart, and sustainable cities. Algorithms form the basis of decision-making in AVs, allowing them to perform driving tasks autonomously, efficiently, and more safely than human drivers and offering various economic, social, and environmental benefits. However, algorithmic decision-making in AVs can also introduce new issues that create new safety risks and perpetuate discrimination. We identify bias, ethics, and perverse incentives as key ethical issues in the AV algorithms’ decision-making that can create new safety risks and discriminatory outcomes. Technical issues in the AVs’ perception, decision-making and control algorithms, limitations of existing AV testing and verification methods, and cybersecurity vulnerabilities can also undermine the performance of the AV system. This article investigates the ethical and technical concerns surrounding algorithmic decision-making in AVs by exploring how driving decisions can perpetuate discrimination and create new safety risks for the public. We discuss steps taken to address these issues, highlight the existing research gaps and the need to mitigate these issues through the design of AV’s algorithms and of policies and regulations to fully realise AVs’ benefits for smart and sustainable cities. View Full-Text
Keywords: algorithm; autonomous vehicle; driverless car; decision-making; ethics; biases; discrimination; safety; smart city; sustainable city; sustainable development algorithm; autonomous vehicle; driverless car; decision-making; ethics; biases; discrimination; safety; smart city; sustainable city; sustainable development
MDPI and ACS Style

Lim, H.S.M.; Taeihagh, A. Algorithmic Decision-Making in AVs: Understanding Ethical and Technical Concerns for Smart Cities. Sustainability 2019, 11, 5791.

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