Integrating artificial intelligence (AI) and federated learning (FL) in smart transportation has raised critical issues regarding their responsible use. Ensuring responsible AI is paramount for the stability and sustainability of intelligent transportation systems. Despite its importance, research on the responsible application of AI and FL in this domain remains nascent, with a paucity of in-depth investigations into their confluence. Our study analyzes the roles of FL in smart transportation, as well as the promoting effect of responsible AI on distributed smart transportation. Lastly, we discuss the challenges of developing and implementing responsible FL in smart transportation and propose potential solutions. By integrating responsible AI and federated learning, intelligent transportation systems are expected to achieve a higher degree of intelligence, personalization, safety, and transparency.

翻译：将人工智能（AI）和联邦学习（FL）融入智能交通，引发了关乎其负责任使用的关键问题。确保负责任的人工智能对于智能交通系统的稳定性和可持续发展至关重要。尽管重要，但关于AI和FL在该领域中负责任应用的研究仍处于起步阶段，缺乏对其融合的深入探讨。本研究分析了FL在智能交通中的作用，以及负责任AI对分布式智能交通的促进作用。最后，我们讨论了在智能交通中开发和实施负责任FL所面临的挑战，并提出了潜在的解决方案。通过整合负责任AI与联邦学习，智能交通系统有望实现更高程度的智能化、个性化、安全性和透明度。