Taxonomy of Generative AI Applications for Risk Assessment

The superior functionality and versatility of generative AI have raised expectations for the improvement of human society and concerns about the ethical and social risks associated with the use of generative AI. Many previous studies have presented risk issues as concerns associated with the use of...

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Bibliographic Details
Published in:2024 IEEE/ACM 3rd International Conference on AI Engineering – Software Engineering for AI (CAIN) pp. 288 - 289
Main Authors: Tanaka, Hiroshi, Ide, Masaru, Yajima, Jun, Onodera, Sachiko, Munakata, Kazuki, Yoshioka, Nobukazu
Format: Conference Proceeding
Language:English
Japanese
Published: ACM 14.04.2024
Subjects:
Atmospheric modeling
Computational modeling
Ethics
Generative AI
language models
responsible AI
responsible innovation
risk assessment
Risk management
Surveys
Taxonomy
technology risks
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Summary:The superior functionality and versatility of generative AI have raised expectations for the improvement of human society and concerns about the ethical and social risks associated with the use of generative AI. Many previous studies have presented risk issues as concerns associated with the use of generative AI, but since most of these concerns are from the user's perspective, they are difficult to lead to specific countermeasures. In this study, the risk issues presented by the previous studies were broken down into more detailed elements, and risk factors and impacts were identified. In this way, we presented information that leads to countermeasure proposals for generative AI risks.CCS CONCEPTS* General and reference→Evaluation; Surveys and overviews, * Human-centered computing→HCI theory, concepts and models; * Social and professional topics→Computing / technology policy.
DOI:10.1145/3644815.3644977