The Implementation of Ethical AI Within Autonomous Vehicles

Authors

  • Vadim Fedorov Polygence
  • Noah T. Curran Polygence

DOI:

https://doi.org/10.47611/jsrhs.v13i1.5973

Keywords:

Autonomous Vehicles, AV, Artificial Intelligence, AI, Ethical AI, Ethics, Ethical Considerations, Decision-making, Life-or-death situations, Ethical Frameworks, Human Flourishing, Deontology, Utilitarianism, Robotic Technology, Stakeholders, Consequentialism, AI Protocols, Ethical Guidelines, Machine Learning, Driverless Cars, Ethical Challenges, Technological Ethics, Human-machine Interaction, AI Responsibility, Safety Protocols, Vehicle Sensors, Moral Implications, Road Safety, AI Training Data

Abstract

The integration of Artificial Intelligence in the rapidly evolving landscape of autonomous vehicles necessitates an in-depth exploration of the associated ethical implications, especially in life-or-death scenarios. This research paper delves deeply into the multifaceted ethical issues associated with the deployment of AI-driven autonomous vehicles and the moral implication regarding this development. A core inquiry of this work is discerning the appropriate entity responsible for critical decision-making when human lives are in the balance. Given the unique context of autonomous driving, where split-second decisions could be a norm rather than an exception, we aim to investigate both the current algorithms' decision-making processes as well as their lack of transparency and question the underlying ethics that shape them. Drawing from real-world incidents involving autonomous vehicles, and juxtaposing them with theoretical predicaments, this study endeavors to present a holistic view of the prevailing ethical perspectives. Building on this foundation, we introduce a fitting ethical decision-making framework, rooted in deontological principles, designed to guide autonomous vehicles through morally complex scenarios on the road. To validate and refine our framework, we employ diverse case studies from the world of autonomous driving. Simultaneously, recognizing the inherent challenges that any ethical framework might encounter, we also discuss potential pitfalls and offer suggestions to enhance its robustness and applicability. As a result, this research underscores the pressing need for meticulously crafted guidelines governing AI within autonomous vehicles, ensuring that safety, individual autonomy, and ethical qualifications to be implemented within the age of driverless transport.

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References or Bibliography

Adey, O. (2022, February 20). 2023 - “ghost braking” at Tesla: The US Government launches an investigation. Gettotext.com. https://gettotext.com/ghost-braking-at-tesla-the-us-government-launches-an-investigation/

University of Michigan. (n.d.). https://rtcl.eecs.umich.edu/rtclweb/assets/dissertations/2022/Thesis_Chun-Yu_Chen.pdf

Granicus, Inc. (n.d.). SF LEGISLATION. City and county of San Francisco - legislation. https://sfgov.legistar.com/Legislation.aspx

PDF for 2302.14326 - Arxiv.Org, arxiv.org/pdf/2302.14326. Accessed 26 July 2023.

Ethical frameworks and Computer Security Trolley Problems: Foundations . (n.d.-a). https://arxiv.org/pdf/2302.14326.pdf

Gender shades: Intersectional accuracy disparities in commercial gender . (n.d.-b). http://proceedings.mlr.press/v81/buolamwini18a/buolamwini18a.pdf

Arguing machines: Human supervision of black box AI systems that make . (n.d.-a). https://openaccess.thecvf.com/content_CVPRW_2019/papers/WAD/Fridman_Arguing_Machines_Human_Supervision_of_Black_Box_AI_Systems_That_CVPRW_2019_paper.pdf

Thakur, S. (2022, December 23). Security and interpretability in Automotive Systems. arXiv.org. https://arxiv.org/abs/2212.12101

Dafoe, A., Bachrach, Y., Hadfield, G., Horvitz, E., Larson, K., & Graepel, T. (2021, May 4). Cooperative AI: Machines must learn to find common ground. Nature News. https://www.nature.com/articles/d41586-021-01170-0

Shepardson, D. (2022, December 16). U.S. opens probe into GM cruise vehicles’ autonomous driving system. Automotive News. https://www.autonews.com/mobility-report/us-opens-probe-gm-cruise-autonomous-driving-system

New Video of Bay Bridge 8-car crash shows Tesla abruptly braking in “self-driving” mode. ABC7 San Francisco. (2023, January 11). https://abc7news.com/tesla-sf-bay-bridge-crash-8-car-self-driving-video/12686428/

Maveric: A data-driven approach to personalized autonomous driving. (n.d.-d). https://arxiv.org/pdf/2301.08595.pdf

University of Michigan. (n.d.). https://rtcl.eecs.umich.edu/rtclweb/assets/dissertations/2022/Thesis_Chun-Yu_Chen.pdf

Maveric: A data-driven approach to personalized autonomous driving. (n.d.-a). https://arxiv.org/pdf/2301.08595.pdf

Eliot, L. (2020, January 4). Overcoming racial bias in AI systems and startlingly even in AI self-driving cars. Forbes. https://www.forbes.com/sites/lanceeliot/2020/01/04/overcoming-racial-bias-in-ai-systems-and-startlingly-even-in-ai-self-driving-cars/?sh=1d0fd20f723b

Critical theory technology - simon fraser university. (n.d.-a). https://www.sfu.ca/~andrewf/books/Critical_Theory_Technology.pdf

Framework for Responsible Research and Innovation. UKRI. (n.d.). https://www.ukri.org/about-us/epsrc/our-policies-and-standards/framework-for-responsible-innovation/

Geisslinger, M., Poszler, F., Betz, J., Lütge, C., & Lienkamp, M. (2021, April 12). Autonomous Driving Ethics: From trolley problem to ethics of risk - philosophy Technology SpringerLink. https://link.springer.com/article/10.1007/s13347-021-00449-4

Goodall, N. J. (2016). Away from trolley problems and toward risk management. Applied Artificial Intelligence, 30(8), 810-821.

Lin, P. (2016). Why ethics matters for autonomous cars. In Autonomes Fahren (pp. 69-85). Springer, Berlin, Heidelberg.

Santoni de Sio, F., & van den Hoven, J. (2018). Meaningful human control over autonomous systems: A philosophical account. Frontiers in Robotics and AI, 5, 15.

Hevelke, A., & Nida-Rümelin, J. (2015). Responsibility for crashes of autonomous vehicles: An ethical analysis. Science and engineering ethics, 21(3), 619-630.

Gogoll, J., & Müller, J. F. (2017). Autonomous cars: In favor of a mandatory ethics setting. Science and engineering ethics, 23(3), 681-700.

Nyholm, S. (2018). The ethics of crashes with self-driving cars: A roadmap, I. Philosophy Compass, 13(7), e12507.

Mladenović, M. N., & McPherson, T. (2016). Engineering social justice into traffic control for self-driving vehicles? Science and engineering ethics, 22(4), 1131-1149.

Nyholm, S., & Smids, J. (2016). The ethics of accident-algorithms for self-driving cars: An applied trolley problem? Ethical Theory and Moral Practice, 19(5), 1275-1289.

Gurney, J. K. (2016). Crashing into the unknown: An examination of crash-optimization algorithms through the two lanes of ethics and law. Alb. L. Rev., 79, 183.

Hevelke, A., & Nida-Rümelin, J. (2015). Responsibility for crashes of autonomous vehicles: An ethical analysis. Science and Engineering Ethics, 21(3), 619-630.

Lin, P. (2016). Why ethics matters for autonomous cars. In Autonomous Driving (pp. 69-85). Springer, Berlin, Heidelberg.

Santoni de Sio, F., & van den Hoven, J. (2018). Meaningful human control over autonomous systems: A philosophical account. Frontiers in Robotics and AI, 5, 15.

Holstein, T., & Dodig-Crnkovic, G. (2018). Avoiding the intrinsic unfairness of the trolley problem. Philosophies, 3(4), 33.

Achenie, L. E. K., & Achenie, L. A. K. (2018). The ethics of autonomous cars: Who's to blame? Asian Journal of Business Ethics, 7(1), 69-81.

Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679

Published

02-29-2024

How to Cite

Fedorov, V., & Curran, N. (2024). The Implementation of Ethical AI Within Autonomous Vehicles. Journal of Student Research, 13(1). https://doi.org/10.47611/jsrhs.v13i1.5973

Issue

Section

HS Research Articles