Let Me Take Over: Variable Autonomy for Meaningful Human Control
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 fo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-09-01
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| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2021.737072/full |
| _version_ | 1818682775127982080 |
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| author | Leila Methnani Andrea Aler Tubella Virginia Dignum Andreas Theodorou |
| author_facet | Leila Methnani Andrea Aler Tubella Virginia Dignum Andreas Theodorou |
| author_sort | Leila Methnani |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T10:24:12Z |
| format | Article |
| id | doaj.art-c2cdb8f2b53c4e8eafe5b07dab0d55fe |
| institution | Directory Open Access Journal |
| issn | 2624-8212 |
| language | English |
| last_indexed | 2024-12-17T10:24:12Z |
| publishDate | 2021-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj.art-c2cdb8f2b53c4e8eafe5b07dab0d55fe2022-12-21T21:52:42ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122021-09-01410.3389/frai.2021.737072737072Let Me Take Over: Variable Autonomy for Meaningful Human ControlLeila MethnaniAndrea Aler TubellaVirginia DignumAndreas TheodorouAs 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.https://www.frontiersin.org/articles/10.3389/frai.2021.737072/fullresponsible AIAI ethicsaccountabilityresponsibilitytransparencyvariable autonomy |
| spellingShingle | Leila Methnani Andrea Aler Tubella Virginia Dignum Andreas Theodorou Let Me Take Over: Variable Autonomy for Meaningful Human Control Frontiers in Artificial Intelligence responsible AI AI ethics accountability responsibility transparency variable autonomy |
| title | Let Me Take Over: Variable Autonomy for Meaningful Human Control |
| title_full | Let Me Take Over: Variable Autonomy for Meaningful Human Control |
| title_fullStr | Let Me Take Over: Variable Autonomy for Meaningful Human Control |
| title_full_unstemmed | Let Me Take Over: Variable Autonomy for Meaningful Human Control |
| title_short | Let Me Take Over: Variable Autonomy for Meaningful Human Control |
| title_sort | let me take over variable autonomy for meaningful human control |
| topic | responsible AI AI ethics accountability responsibility transparency variable autonomy |
| url | https://www.frontiersin.org/articles/10.3389/frai.2021.737072/full |
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