Risks of Generative Artificial Intelligence and Multi-Tool Governance

While generative AI, represented by ChatGPT, brings a technological revolution and convenience to life, it may raise a series of social and legal risks, mainly including violation of personal privacy and data security issues, infringement of intellectual property rights, generation of misleading and false content, and exacerbation of discrimination and prejudice. However, the traditional AI governance paradigm oriented towards conventional AI may not be adequately adapted to generative AI with generalized potential and based on big models. In order to encourage the innovative development of generative AI technology and regulate the risks, this paper explores the construction of a generative AI governance paradigm that combines legal regulation, technological regulation, and ethical governance of science and technology, and promotes the healthy development of generative AI on the track of safety, order, fairness, and co-governance.

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Publication Details

Journal
Academic journal of management and social sciences
Published
2024-11-26
DOI
https://doi.org/10.54097/stvem930
Citations
1
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
Field-Weighted Citation Impact
1.13
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Risks of Generative Artificial Intelligence and Multi-Tool Governance

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1 citations
Academic journal of management and social sciences
Innovation, Sustainability, Human-Machine Systems
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article

Risks of Generative Artificial Intelligence and Multi-Tool Governance

Fei Hu, Xinrui Cheng, Shiyuan Liu, Mengqi Yu, P Guo
article en
1 citations

Abstract

While generative AI, represented by ChatGPT, brings a technological revolution and convenience to life, it may raise a series of social and legal risks, mainly including violation of personal privacy and data security issues, infringement of intellectual property rights, generation of misleading and false content, and exacerbation of discrimination and prejudice. However, the traditional AI governance paradigm oriented towards conventional AI may not be adequately adapted to generative AI with generalized potential and based on big models. In order to encourage the innovative development of generative AI technology and regulate the risks, this paper explores the construction of a generative AI governance paradigm that combines legal regulation, technological regulation, and ethical governance of science and technology, and promotes the healthy development of generative AI on the track of safety, order, fairness, and co-governance.

Academic journal of management and social sciencesVol. 9(2)
Peace, Justice and strong institutions
Openalex Percentile: Top 15%
Innovation, Sustainability, Human-Machine Systems
1.13
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