In the context of designing and implementing ethical Artificial Intelligence (AI), varying perspectives exist regarding developing trustworthy AI for autonomous cars. This study sheds light on the differences in perspectives and provides recommendations to minimize such divergences. By exploring the diverse viewpoints, we identify key factors contributing to the differences and propose strategies to bridge the gaps. This study goes beyond the trolley problem to visualize the complex challenges of trustworthy and ethical AI. Three pillars of trustworthy AI have been defined: transparency, reliability, and safety. This research contributes to the field of trustworthy AI for autonomous cars, providing practical recommendations to enhance the development of AI systems that prioritize both technological advancement and ethical principles.

翻译：在设计与实现合乎伦理的人工智能（AI）的背景下，针对开发自动驾驶可信AI存在不同视角。本研究揭示了这些视角差异，并提出减少此类分歧的建议。通过探索多元观点，我们识别了导致差异的关键因素，并提出了弥合鸿沟的策略。本研究超越了电车难题，直观呈现了可信与合乎伦理AI的复杂挑战。可信AI的三大支柱被定义为：透明度、可靠性和安全性。本研究为自动驾驶可信AI领域做出贡献，提供了切实可行的建议，以促进同时优先考虑技术进步与伦理原则的AI系统开发。