Summary of Streamlining Advanced Taxi Assignment Strategies Based on Legal Analysis, by Holger Billhardt et al.
Streamlining Advanced Taxi Assignment Strategies based on Legal Analysis
by Holger Billhardt, José-Antonio Santos, Alberto Fernández, Mar Moreno, Sascha Ossowski, José A. Rodríguez
First submitted to arxiv on: 22 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a novel approach to collaborative service provision in urban transportation using AI methods. Specifically, it develops a taxi coordination service that mediates between individual taxis and potential customers. The authors argue that legal and ethical aspects of such systems are crucial in guiding design decisions and identifying non-functional requirements. They analyze the viability of their prototype under current legal restrictions and constraints, then modify it to incorporate recommendations for addressing these issues. Experiments with the improved system help identify the most adequate option among several legally admissible alternatives. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about a new way to help people find taxi rides using artificial intelligence. It’s like an app that connects taxis and customers together. The authors think that we need to consider things like laws and ethics when making this kind of system, because it can affect how well it works. They test a prototype of the system and see what changes they can make to make it work better while still following the rules. |
