Taxonomy of Generative AI Applications for Risk Assessment


연구 분야: Artificial Intelligence



학회: 2024 IEEE/ACM 3rd International Conference on AI Engineering – Software Engineering for AI (CAIN)


초록

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.


Author Profile
Hiroshi Tanaka

Fujitsu Limited Kawasaki Japan

Japan
Author Profile
Masaru Ide

Fujitsu Limited Kawasaki Japan

Japan
Author Profile
Jun Yajima

Fujitsu Limited Kawasaki Japan

Japan

📄 논문 정보

발행 연도 2024년
인용수 1
출판 국가 Japan
사이트 IEEE
좋아요 수 0

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