A Practical Multilevel Governance Framework for Autonomous and Intelligent Systems

Fuente: arXiv
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Auteurs principaux: Pöhler, Lukas D., Diepold, Klaus, Wallach, Wendell
Format: Preprint
Publié: 2024
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author Pöhler, Lukas D.
Diepold, Klaus
Wallach, Wendell
author_facet Pöhler, Lukas D.
Diepold, Klaus
Wallach, Wendell
contents Autonomous and intelligent systems (AIS) facilitate a wide range of beneficial applications across a variety of different domains. However, technical characteristics such as unpredictability and lack of transparency, as well as potential unintended consequences, pose considerable challenges to the current governance infrastructure. Furthermore, the speed of development and deployment of applications outpaces the ability of existing governance institutions to put in place effective ethical-legal oversight. New approaches for agile, distributed and multilevel governance are needed. This work presents a practical framework for multilevel governance of AIS. The framework enables mapping actors onto six levels of decision-making including the international, national and organizational levels. Furthermore, it offers the ability to identify and evolve existing tools or create new tools for guiding the behavior of actors within the levels. Governance mechanisms enable actors to shape and enforce regulations and other tools, which when complemented with good practices contribute to effective and comprehensive governance.
format Preprint
id arxiv_https___arxiv_org_abs_2404_13719
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Practical Multilevel Governance Framework for Autonomous and Intelligent Systems
Pöhler, Lukas D.
Diepold, Klaus
Wallach, Wendell
Computers and Society
Artificial Intelligence
Emerging Technologies
Autonomous and intelligent systems (AIS) facilitate a wide range of beneficial applications across a variety of different domains. However, technical characteristics such as unpredictability and lack of transparency, as well as potential unintended consequences, pose considerable challenges to the current governance infrastructure. Furthermore, the speed of development and deployment of applications outpaces the ability of existing governance institutions to put in place effective ethical-legal oversight. New approaches for agile, distributed and multilevel governance are needed. This work presents a practical framework for multilevel governance of AIS. The framework enables mapping actors onto six levels of decision-making including the international, national and organizational levels. Furthermore, it offers the ability to identify and evolve existing tools or create new tools for guiding the behavior of actors within the levels. Governance mechanisms enable actors to shape and enforce regulations and other tools, which when complemented with good practices contribute to effective and comprehensive governance.
title A Practical Multilevel Governance Framework for Autonomous and Intelligent Systems
topic Computers and Society
Artificial Intelligence
Emerging Technologies
url https://arxiv.org/abs/2404.13719