AI Maintenance: A Robustness Perspective

In this article, we carve out artificial intelligence (AI) maintenance from the robustness perspective. Our proposal for AI maintenance facilitates robustness assessment, status tracking, risk scanning, model hardening, and regulation throughout the AI lifecycle, which is an essential milestone towa...

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Bibliographic Details
Published in:Computer (Long Beach, Calif.) Calif.), 2023-02, Vol.56 (2), p.48-56
Main Authors: Chen, Pin-Yu, Das, Payel
Format: Article
Language:English
Subjects:
Artificial intelligence
Computational modeling
Ecosystems
Maintenance
Proposals
Risk management
Robustness
Sustainable development
Tracking
Trust computing
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Description
Summary:In this article, we carve out artificial intelligence (AI) maintenance from the robustness perspective. Our proposal for AI maintenance facilitates robustness assessment, status tracking, risk scanning, model hardening, and regulation throughout the AI lifecycle, which is an essential milestone toward building sustainable and trustworthy AI ecosystems.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2022.3218005