University Assignment: Ethical Analysis of Self-Driving Car Crashes
VerifiedAdded on 2020/05/16
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Case Study
AI Summary
This case study analyzes the ethical complexities surrounding a crash involving a self-driving car, specifically a Google-modified Lexus SUV. The accident, which occurred in 2016, raises critical questions about assigning responsibility when autonomous vehicles are involved in collisions. The study explores ethical frameworks such as utilitarianism and deontology to evaluate the moral implications of such incidents, considering factors like the car's decision-making process, sensor functionality, and the role of backup systems. It examines the impact on passengers, car manufacturers, and the potential for algorithmic biases. The analysis further investigates options for mitigating such accidents through improved coding, backup mechanisms, and human intervention, ultimately aiming to identify the most ethical and practical solutions for the future of autonomous vehicles. The assignment concludes by emphasizing the importance of ethical considerations in the development and deployment of self-driving technology.
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