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Let Me Take Over: Variable Autonomy for Meaningful Human Control
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-9808-2037
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8423-8029
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-7409-5813
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-9499-1535
2021 (English)In: Frontiers in Artificial Intelligence, E-ISSN 2624-8212, Vol. 4, article id 737072Article in journal (Refereed) Published
Abstract [en]

As Artificial Intelligence (AI) continues to expand its reach, the demand for human control and the development of AI systems that adhere to our legal, ethical, and social values also grows. Many (international and national) institutions have taken steps in this direction and published guidelines for the development and deployment of responsible AI systems. These guidelines, however, rely heavily on high-level statements that provide no clear criteria for system assessment, making the effective control over systems a challenge. “Human oversight” is one of the requirements being put forward as a means to support human autonomy and agency. In this paper, we argue that human presence alone does not meet this requirement and that such a misconception may limit the use of automation where it can otherwise provide so much benefit across industries. We therefore propose the development of systems with variable autonomy—dynamically adjustable levels of autonomy—as a means of ensuring meaningful human control over an artefact by satisfying all three core values commonly advocated in ethical guidelines: accountability, responsibility, and transparency.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2021. Vol. 4, article id 737072
Keywords [en]
accountability, adjustable autonomy, AI ethics, human oversight, responsibility, responsible AI, transparency, variable autonomy
National Category
Computer Sciences
Research subject
computer and systems sciences
Identifiers
URN: urn:nbn:se:umu:diva-189123DOI: 10.3389/frai.2021.737072ISI: 000751704800152PubMedID: 34595471Scopus ID: 2-s2.0-85117951859OAI: oai:DiVA.org:umu-189123DiVA, id: diva2:1610955
Funder
EU, Horizon 2020, 952026EU, Horizon 2020, 952026Knut and Alice Wallenberg Foundation, 2020:0221Available from: 2021-11-12 Created: 2021-11-12 Last updated: 2023-09-05Bibliographically approved

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Methnani, LeilaAler Tubella, AndreaDignum, VirginiaTheodorou, Andreas

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