Designing Ethical Decision-Making Algorithms for Autonomous Vehicles - An Interdisciplinary Perspective: Discusses interdisciplinary approaches to designing ethical decision-making algorithms for Avs

Abstract

This research paper explores the interdisciplinary nature of designing ethical decision-making algorithms for autonomous vehicles (AVs). Ethical decision-making in AVs is crucial to ensure the safety of passengers, pedestrians, and other road users. However, developing algorithms that can make ethical decisions poses significant challenges due to the complex and dynamic nature of real-world scenarios. This paper examines how insights from various disciplines such as ethics, psychology, law, and computer science can be integrated to design more robust and ethically sound algorithms for AVs. The interdisciplinary approach considers ethical principles, human behavior, legal frameworks, and technical constraints to create algorithms that prioritize safety while balancing ethical dilemmas on the road.