Research on generative artificial intelligence data authorization mode and strategy: from the perspective of user data value

Yudong Chang

doi:10.1117/12.3046179

19 September 2024 Research on generative artificial intelligence data authorization mode and strategy: from the perspective of user data value

Yudong Chang

Author Affiliations +

Proceedings Volume 13225, Sixth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2024); 132250B (2024) https://doi.org/10.1117/12.3046179
Event: Sixth International Conference on Image, Video Processing and Artificial Intelligence, 2024, Kuala Lumpur, Malaysia

Abstract

Generative artificial intelligence technology has a wide range of applications in data authentication, including scene simulation, artistic and creative generation, data repair, anomaly detection, etc. However, there are still many problems, such as privacy protection, complex model interpretation, low degree of user data protection, and discrimination and bias in the generated data. Based on the perspective of user data value, this article proposes to reconstruct the generative artificial intelligence data ownership model from five aspects: user data usage description, user rights management of data, user data value return, data contribution recognition, and partner transparency. Corresponding development strategies are proposed from the legal, ethical, technical and user data value levels. In the future, with the development of generative artificial intelligence data authentication, users will be able to share data in a more transparent and fair manner and receive rewards or other potential value from it.

Citation Download Citation

Yudong Chang "Research on generative artificial intelligence data authorization mode and strategy: from the perspective of user data value", Proc. SPIE 13225, Sixth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2024), 132250B (19 September 2024); https://doi.org/10.1117/12.3046179

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