mlsanityData to 7 Oct 2026

Legal and ethical implications of applications based on agreement technologies: the case of auction-based road intersections

arXiv 2402.01673 ↗First posted 18 Jan 2024cs.CY cs.AIcited by 1

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Abstract (arXiv)

Agreement Technologies refer to a novel paradigm for the construction of distributed intelligent systems, where autonomous software agents negotiate to reach agreements on behalf of their human users. Smart Cities are a key application domain for Agreement Technologies. While several proofs of concept and prototypes exist, such systems are still far from ready for being deployed in the real-world. In this paper we focus on a novel method for managing elements of smart road infrastructures of the future, namely the case of auction-based road intersections. We show that, even though the key technological elements for such methods are already available, there are multiple non-technical issues that need to be tackled before they can be applied in practice. For this purpose, we analyse legal and ethical implications of auction-based road intersections in the context of international regulations and from the standpoint of the Spanish legislation. From this exercise, we extract a set of required modifications, of both technical and legal nature, which need to be addressed so as to pave the way for the potential real-world deployment of such systems in a future that may not be too far away.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 61 references that are in the map. First posted on arXiv 18 Jan 2024.

Builds on

4 of 61 references.

References · 4

  1. 2016Semantics derived automatically from language corpora contain human-like biasescited by 894
  2. 2016European Union regulations on algorithmic decision-making and a "right to explanation"cited by 343
  3. 2018Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry riskscited by 21
  4. 2014A Market-Inspired Approach for Intersection Management in Urban Road Traffic Networkscited by 4

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Citing papers per year: 2024: 1.

1 paper.