Artificial Canaries: Early Warning Signs for Anticipatory and Democratic Governance of AI

Author
Keywords
Abstract
We propose a method for identifying early warning signs of transformative progress in artificial intelligence (AI), and discuss how these can support the anticipatory and democratic governance of AI. We call these early warning signs ‘canaries’, based on the use of canaries to provide early warnings of unsafe air pollution in coal mines. Our method combines expert elicitation and collaborative causal graphs to identify key milestones and identify the relationships between them. We present two illustrations of how this method could be used: to identify early warnings of harmful impacts of language models; and of progress towards high-level machine intelligence. Identifying early warning signs of transformative applications can support more efficient monitoring and timely regulation of progress in AI: as AI advances, its impacts on society may be too great to be governed retrospectively. It is essential that those impacted by AI have a say in how it is governed. Early warnings can give the public time and focus to influence emerging technologies using democratic, participatory technology assessments. We discuss the challenges in identifying early warning signals and propose directions for future work.
Year of Publication
2021
Journal
International Journal of Interactive Multimedia and Artificial Intelligence
Volume
6
Issue
Special Issue on Artificial Intelligence, Paving the Way to the Future
Number
5
Number of Pages
100-109
Date Published
03/2021
ISSN Number
1989-1660
URL
https://www.ijimai.org/journal/sites/default/files/2021-02/ijimai_6_5_10.pdf
DOI
10.9781/ijimai.2021.02.011
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