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您的检索式：作者名="Ruoling Wu"
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| 1 | AIGC challenges and opportunities related to public safety:A case study of ChatGPT显示文摘Artificial intelligence generated content(AIGC)is a production method based on artificial intelligence(AI)technology that finds rules through data and automatically generates content.In contrast to computational intelligence,generative AI,as exemplified by ChatGPT,exhibits characteristics that increasingly resemble human-level comprehension and creation processes.This paper provides a detailed technical framework and history of ChatGPT,followed by an examination of the challenges posed to political security,military security,economic security,cultural security,social security,ethical security,legal security,machine escape problems,and information leakage.Finally,this paper discusses the potential opportunities that AIGC presents in the realms of politics,military,cybersecurity,society,and public safety education. | Danhuai Guo Huixuan Chen Ruoling Wu Yangang Wang | 2023 | Journal of Safety Science and Resilience2023，4，4： | 0 |
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