Consequences of an Analysis Using Biblical Analogies for Automated Vehicle Control Design

Balázs NÉMETH

doi:10.24193/subbtref.67.2.02

Authors

Balázs NÉMETH Ph.D. student, Faculty of Theology, Károli Gáspár University of the Reformed Church in Hungary. E-mail: nemeth.balazs@kjk.bme.hu https://orcid.org/0000-0003-0211-3204

DOI:

https://doi.org/10.24193/subbtref.67.2.02

Keywords:

biblical analogies, automated vehicle control, ethical challenges, machine learning

Abstract

The paper proposes an analysis of learning-based approaches for automated vehicle control systems from an ethical viewpoint. An analysis using analogies between selected biblical texts and operation concepts of learning-based approaches is per-formed. Thus, analogies for supervised, unsupervised, and reinforcement learning-based approaches are created. Through the analogies, the root of the automatic control design problems, i.e. forming objective functions, on a theological level is explored. The analysis leads to three consequences, which are related to the difficulty of forming control objective, the difficulty of considering human objectives in control, and the necessity of viewing systems in all their complexity. The paper proposes the application of the consequences in an illustrative route selection vehicle control example. A multi-layer control concept involving the consequences of the analysis is proposed, with which some ethical challenges of the selected control problem can be handled.

References

ANDERSON, William H. U. (2021): Technology and Theology. Vernon Press.

ARADI Szilárd – BÉCSI Tamás – GÁSPÁR Péter (2018): Policy Gradient Based Reinforcement Learning Approach for Autonomous Highway Driving. In: IEEE Conference on Control Technology and Applications (CCTA). 670–675.

AWAD, E. – DSOUZA, S – KIM, R. – SCHULZ, J. – HENRICH, J. – SHARIFF, A. – BONNEFON, J-F. – RAHWAN, I. (2018): The Moral Machine Experiment. In: Nature. 563, 59–64.

BISSELL, David – BIRTCHNEL, Thomas – ELLIOTT, Anthony – HSU, Eric L. (2020): Autonomous automobilities: The Social Impacts of Driverless Vehicles. Current Sociology. 68, 1. 116–134.

BOHREN, Rudolf (61971): Predigtlehre. Gütersloher Verlagshaus.

BOJARSKI, Mariusz – DEL TESTA, Davide – DWORAKOWSKI, Daniel – FIRNER, Bernhard – FLEPP, Beat – GOYAL, Prasoon – JACKEL, Lawrence D. – MONFORT, Mathew – MULLER, Urs – ZHANG, Jiakai – ZHANG, Xin – ZHAO, Jake – ZIEBA, Karol (2016): End to End Learning for Self-Driving Cars. www.arxiv.org/abs/1604.07316 (last accessed on: 27/09/2021).

BONEVAC, Daniel (2021): John Calvin’s Multiplicity Thesis. In: Religions. 12, 6.

BONNEFON, Jean-Francois – SHARIFF, Azim – RAHWAN, Iyad (2019): The Trolley, the Bull Bar, and Why Engineers Should Care about the Ethics of Autonomous Cars. Proceedings of the IEEE. 107, 3. 502–504.

BOUKHARI, Mohamed Riad – CHAIBET, Ahmed – BOUKHNIFER, Moussa – GLASER, Sébastien (2018): Proprioceptive Sensors’ Fault Tolerant Control Strategy for an Autonomous Vehicle. In: Sensors. 18, 6.

BRADLEY, James (2012): Randomness and God’s nature. In: Perspectives on Science and Christian Faith. 64, 2. 75–89.

(2016): Random Numbers and God’s Nature. In: Giberson, Karl W. (ed.): Abraham’s Dice: Chance and Providence in the Monotheistic Traditions. Oxford, Oxford University Press.

BUCHHOLZ, Todd G. (1988): Biblical Laws and the Economic Growth of Ancient Israel. In: Journal of Law and Religion. 6, 2. 389–427.

COCHRANE, Arthur C. (ed.). (22003): Reformed Confessions of the Sixteenth Century. Westminster, John Knox Press.

COECKELBERGH, M. (2015): The Tragedy of the Master: Automation, Vulnerability, and Distance. In: Ethics and Information Technology. 17. 219–229.

COSTANTINI, Federico – THOMOPOULOS, Nikolas – STEIBE, Fabro – CURL, Angela – LUGANO, Giuseppe – KOVÁČIKOVÁ, Tatiana (2020): Autonomous Vehicles in a GDPR Era: An International Comparison. In: Milakis, Dimitris – Thomopoulos, Nikolas – van Wee, Bert (eds.): Policy Implications of Autonomous Vehicles. Vol. 5. 191–213 (series: Advances in Transport Policy and Planning [series ed.: Van Wee, Bert]). Academic Press.

DAVNALL, Rebecca (2020): The Car’s Choice: Illusions of Agency in the Self-Driving Car Trolley Problem. In: Artificial Intelligence. Reflections in Philosophy, Theology – The Social Sciences. Brill. 189–202.

DEMUT, H. – HAGAN, M. – BEALE, M. (1997): Neural Network Design. Cambridge, PWS Publishing Co.

FANG, Yukun – MIN, Haigen – WANG, Wuqi – XU, Zhigang – ZHAO, Xiangmo (2020): A Fault Detection and Diagnosis System for Autonomous Vehicles Based on Hybrid Approaches. In: IEEE Sensors Journal. 20, 16. 9359–9371.

FÉNYES Dániel – NÉMETH Balázs – GÁSPÁR Péter (2021): Design of LPV Control for Autonomous Vehicles Using the Contributions of Big Data Analysis. In: International Journal of Control. 1–12.

FUREY, H. – HILL, S. (2021): MIT’s Moral Machine Project Is a Psychological Roadblock to Self-Driving Cars. In: AI and Ethics. 1. 151–155.

GREEN, Ronald M. (1999): Jewish and Christian Ethics: What Can We Learn from One Another? In: The Annual of the Society of Christian Ethics. 19. 3–18.

HOUTMAN, C. (1990): The Urim and Thummim: A New Suggestion. Vetus Testamentum. 40, 2. 229–232.

ITO, Daisuke – YOKOI, Yusuke – MIZUNO, Koji (2015): Crash Pulse Optimization for Occupant Protection at Various Impact Velocities. In: Traffic Injury Prevention. 16, 3. 260–267.

IYYER, Mohit – GUHA, Anupam – CHATURVEDI Snigdha – BOYD-GRABER, Jordan – DAUMÉ III, Hal (2016): Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. San Diego, California, Association for Computational Linguistics. 1534–1544.

JOHANSSON, Linda (2018): Ethical Aspects of Military Maritime and Aerial Autonomous Systems. Journal of Military Ethics. 17, 2–3. 140–155.

KANNAN, Ravi – VEMPALA, Santosh – VETTA, Adrian (2004): On Clusterings: Good, Bad and Spectral. In: Journal of ACM. 51, 3. 497–515.

KATO, Takeo – NINOMIYA, Yoshiki (2000): An Approach to Vehicle Recognition Using Supervised Learning. IEICE TRANSACTIONS on Information and Systems. 83, 7. 1475–1479.

KESKIN, Musa Furkan – PENG, Bile – KULCSÁR, Balázs – WYMEERSCH, Henk (2020): Altruistic Control of Connected Automated Vehicles in Mixed-Autonomy Multi-Lane Highway Traffic. IFAC-PapersOnLine. 53, 2. 14966–14971.

KIRAN, B. Ravi – SOBH, Ibrahim – TALPAERT, Victor – MANNION, Patrick – AL SALLAB, Ahmad A. – YOGAMANI, Senthil – PÉREZ, Patrick (2021): Deep Reinforcement Learning for Autonomous Driving: A Survey. In: IEEE Transactions on Intelligent Transportation Systems. 1–18.

KIUMARSI, Bahare – VAMVOUDAKIS, Kyriakos G. – MODARES, Hamidreza – LEWIS, Frank L. (2018): Optimal and Autonomous Control Using Reinforcement Learning: A Survey. In: IEEE Transactions on Neural Networks and Learning Systems. 29, 6. 2042–2062.

LIANG, Xiaoyuan – DU, Xunsheng – WANG, Guiling – HAN, Zhu (2019): A Deep Reinforcement Learning Network for Traffic Light Cycle Control. In: IEEE Transactions on Vehicular Technology. 68, 2. 1243–1253.

LIN, Patrick – ABNEY, Keith – JENKINS, Ryan (2017): Robot Ethics 2.0: From Autonomous Cars to Artificial Intelligence. Oxford, Oxford Scholarship Online.

MAURER, Markus – GERDES, J. Christian – LENZ, Barbara – WINNER, Hermann (2016): Autonomous Driving: Technical, Legal and Social Aspects. Berlin–Heidelberg, Springer.

MEGIDDO, Nimrod – SUPOWIT, Kenneth (1984): On the Complexity of Some Common Geometric Location Problems. In: SIAM Journal on Computing. 13, 1. 182–196.

NÉMETH Balázs – GÁSPÁR Péter – HEGEDŰS Tamás (2018): Optimal Control of Overtaking Maneuver for Intelligent Vehicles. In: Journal of Advanced Transportation.

NÉMETH Balázs – GÁSPÁR Péter (2021): The Design of Performance Guaranteed Autonomous Vehicle Control for Optimal Motion in Unsignalized Intersections. Applied Sciences. 11, 8.

NÉMETH Balázs – HEGEDŰS Tamás – GÁSPÁR Péter (2021): Design Framework for Achieving Guarantees with Learning-Based Observers. In: Energies. 14, 8.

NIKITAS, Alexandros – VITEL, Alexandra-Elena – COTET, Corneliu (2021): Autonomous Vehicles and Employment: An Urban Futures Revolution or Catastrophe? In: Cities. 114. 103203.

NIKULIN, Vsevolod – PODUSENKO, Albert – TANEV, Ivan – SHIMOHARA, Katsunori (2019): Regression-Based Supervised Learning of Autosteering of a Road Car Featuring a Delayed Steering Response. In: International Journal of Data Science Analitics. 7. 149–163.

PARK, Jonghyun – KIM, Youngjin (2020): Supervised-Learning-Based Optimal Thermal Management in an Electric Vehicle. In: IEEE Access. 8. 1290–1302.

RADOVANOVIĆ, M. (2011): High-Dimensional Data Representations and Metrics for Machine Learning and Data Mining. Ph.D. dissertation. University of Novi Sad.

RAJAMANI, R. – HOWELL, A. S. – CHEN, Chieh – HEDRICK, J. K. – TOMIZUKA, M. (2001): A Complete Fault Diagnostic System for Automated Vehicles Operating in a Platoon. In: IEEE Transactions on Control Systems Technology. 9, 4. 553–564.

REED, Randall (2021): A.I. in Religion, A.I. for Religion, A.I. and Religion: Towards a Theory of Religious Studies and Artificial Intelligence. In: Religions. 12, 6.

REZAPOUR, Mahdi – MOOMEN, Milhan – KSAIBATI, Khaled (2019): Ordered Logistic Models of Influencing Factors on Crash Injury Severity of Single- and Multiple-Vehicle Downgrade Crashes: A Case Study in Wyoming. In: Journal of Safety Research. 68. 107–118.

RUSSELL, Robert John – MORITZ, Joshua M. (eds.). (2019): God’s Providence and Randomness in Nature: Scientific and Theological Perspectives. Templeton Press.

SAIN, Barbara K. (2008): Theology and Engineering: A Conversation in Two Languages. In: Won, C.-H. – Schrader, C. B. – Michel, A. N. (eds.) Advances in Statistical Control, Algebraic Systems Theory, and Dynamic Systems Characteristics. Birkhäuser. 319–330.

SERNA, Andrés – MARCOTEGUI, Beatriz (2014): Detection, Segmentation and Classification of 3D Urban Objects Using Mathematical Morphology and Supervised Learning. In: ISPRS Journal of Photogrammetry and Remote Sensing. 93. 243–255.

SHAFTO, M. G. – SEIFERT, C. M. (2015): Teacher and Learner: Supervised and Unsupervised Learning in Communities. In: Behavioral and Brain Sciences. 38, 64. 1–17.

SIVARAMAN, Sayanan – TRIVEDI, Mohan Manubhai (2010): A general active-learning framework for on-road vehicle recognition and tracking. IEEE Transactions on Intelligent Transportation Systems, 11.2, 267–276.

SOGGIN, Alberto J. (31987): Introduction to the Old Testament. Westminster, John Knox Press.

TEICHMAN Alex – THRUN Sebastian (2011): Practical Object Recognition in Autonomous Driving and Beyond. In: Advanced Robotics and Its Social Impacts. 35–38.

THORNTON, S. M. – PAN, S. – ERLIEN, S. M. – GERDES, J. C. (2017): Incorporating Ethical Considerations into Automated Vehicle Control. IEEE Transactions on Intelligent Transportation Systems. 18, 6. 1429–1439.

VAN DAME, Cornelis (1997): The Urim and Thummim: A Means of Revelation in Ancient Israel. Eisenbrauns.

WAGNER, Michael – KOOPMAN, Philip (2015): A Philosophy for Developing Trust in Self-Driving Cars. In: Meyer, G. – Beiker, S. (eds.): Road Vehicle Automation 2. 163–171. Springer.

WORLD HEALTH ORGANIZATION (2019): World Report on Vision. Technical report. www.who.int/publications/i/item/9789241516570 (last accessed on: 27/09/2021).

YUCER, Seyma – AKCAY, Samet – AL-MOUBAYED, Noura – BRECKON, Toby P. (2020): Exploring Racial Bias within Face Recognition via Per-Subject Adversarially-Enabled Data Augmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. June.