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

• URL: http://arxiv.org/abs/2402.01673v1
• Date: Thu, 18 Jan 2024 09:12:48 GMT
• Title: Legal and ethical implications of applications based on agreement technologies: the case of auction-based road intersections
• Authors: Jos\'e-Antonio Santos, Alberto Fern\'andez, Mar Moreno-Rebato, Holger Billhardt, Jos\'e-A. Rodr\'iguez-Garc\'ia, Sascha Ossowski
• Abstract summary: 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. This paper focuses 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.
• Score: 1.2171826397027241
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

Related papers

• Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G [58.440115433585824]
  Building future wireless systems that support services like digital twins (DTs) is challenging to achieve through advances to conventional technologies like meta-surfaces. While artificial intelligence (AI)-native networks promise to overcome some limitations of wireless technologies, developments still rely on AI tools like neural networks. This paper revisits the concept of AI-native wireless systems, equipping them with the common sense necessary to transform them into artificial general intelligence (AGI)-native systems.
  arXiv  Detail & Related papers  (2024-04-29T04:51:05Z)
• A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks [2.2192488799070444]
  Legal autonomy can be achieved either by imposing constraints on AI actors such as developers, deployers and users, or by imposing constraints on the range and scope of the impact that AI agents can have on the environment. The latter approach involves encoding extant rules concerning AI driven devices into the software of AI agents controlling those devices. This is a challenge since the effectivity of such an approach requires a method of extracting, loading, transforming and computing legal information that would be both explainable and legally interoperable.
  arXiv  Detail & Related papers  (2024-03-27T13:12:57Z)
• Agreement Technologies for Coordination in Smart Cities [2.227417514684251]
  Agreement technologies are a suitable means for achieving coordination in smart city domains. This paper argues that agreement technologies are a suitable means for achieving coordination in smart city domains.
  arXiv  Detail & Related papers  (2024-01-21T17:43:08Z)
• Bringing order into the realm of Transformer-based language models for artificial intelligence and law [3.2074558838636262]
  Transformer-based language models (TLMs) have widely been recognized to be a cutting-edge technology. This article provides the first systematic overview of TLM-based methods for AI-driven problems and tasks in the legal sphere.
  arXiv  Detail & Related papers  (2023-08-10T11:14:22Z)
• Selected Trends in Artificial Intelligence for Space Applications [69.3474006357492]
  This chapter focuses on differentiable intelligence and on-board machine learning. We discuss a few selected projects originating from the European Space Agency's (ESA) Advanced Concepts Team (ACT)
  arXiv  Detail & Related papers  (2022-12-10T07:49:50Z)
• Introduction to the Artificial Intelligence that can be applied to the Network Automation Journey [68.8204255655161]
  The "Intent-Based Networking - Concepts and Definitions" document describes the different parts of the ecosystem that could be involved in NetDevOps. The recognize, generate intent, translate and refine features need a new way to implement algorithms.
  arXiv  Detail & Related papers  (2022-04-02T08:12:08Z)
• Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety [0.7481220126953327]
  Driving is an intuitive task that requires skills, constant alertness and vigilance for unexpected events. Modern motor vehicles now include an array of smart assistive and autonomous driving systems capable of subsuming some, most, or in limited cases, all of the driving task. The UK Department of Transport's response to the Safe Use of Automated Lane Keeping System consultation proposes that these systems are tested for compliance with relevant traffic rules. This paper presents an approach for deconstructing the complicated legalese of traffic law and representing its requirements and flow.
  arXiv  Detail & Related papers  (2021-09-07T09:22:15Z)
• End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning [63.56464608571663]
  Navigating through intersections is one of the main challenging tasks for an autonomous vehicle. In this work, we focus on the implementation of a system able to navigate through intersections where only traffic signs are provided. We propose a multi-agent system using a continuous, model-free Deep Reinforcement Learning algorithm used to train a neural network for predicting both the acceleration and the steering angle at each time step.
  arXiv  Detail & Related papers  (2021-04-28T07:54:40Z)
• Emergent Road Rules In Multi-Agent Driving Environments [84.82583370858391]
  We analyze what ingredients in driving environments cause the emergence of road rules. We find that two crucial factors are noisy perception and agents' spatial density. Our results add empirical support for the social road rules that countries worldwide have agreed on for safe, efficient driving.
  arXiv  Detail & Related papers  (2020-11-21T09:43:50Z)
• Challenges and Prospects of Negawatt Trading in Light of Recent Technological Developments [69.98112767404695]
  We review the challenges and prospects of negawatt trading in light of recent technological advancements. Grid interactive buildings and distributed ledger technologies can ensure active participation and fair pricing.
  arXiv  Detail & Related papers  (2020-07-16T13:41:14Z)
• Artificial intelligence in space [2.0299248281970956]
  Space activities are expected to undergo a radical transformation with the emergence of new satellite systems or new services. This chapter identifies some of the legal and ethical challenges linked to its use. For this reason, a legal methodology must be developed that makes it possible to link intelligent systems and services to a system of rules applicable thereto.
  arXiv  Detail & Related papers  (2020-06-22T16:00:44Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.