Скачать или смотреть Ethical AI-Powered Urban Transportation: Balancing Innovation and Privacy

Imagine a city where fleets of self-driving cars move seamlessly through the streets, efficiently transporting people without creating traffic jams. This is the vision behind CoDriveVLM, an innovative AI system that manages autonomous mobility on-demand (AMON) systems through cooperative dispatching and motion planning. By combining cutting-edge techniques like vision language models (VLMs) and chain of thought reasoning, CoDriveVLM optimizes ride assignments and vehicle trajectories for smoother urban transportation.

However, as exciting as this technology sounds, it also raises important ethical concerns. CoDriveVLM relies on vast amounts of data, including personal information about passenger locations and preferences. This raises privacy issues and questions about data security and responsible usage. Moreover, as we become more reliant on AI systems, we must carefully consider the balance between leveraging their capabilities and preserving human autonomy.

Experts emphasize the need for transparency, accountability, and equitable access in the development and implementation of AI-powered transportation systems like CoDriveVLM. Just as with public utilities, these technologies must benefit all members of society fairly and without bias. As we dive deeper into the ethical dimensions of AI, we must thoughtfully navigate the complex interplay between innovation, individual rights, and the greater social good.

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Title: CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems

Authors: Haichao Liu, Ruoyu Yao, Wenru Liu, Zhenmin Huang, Shaojie Shen, Jun Ma

PDF: arxiv.org/abs/2501.06132