The Solow Paradox of Ethical Risk in Generative Artificial Intelligence——A Case Study of ChatGPT
Generative Artificial Intelligence(AI)while driving breakthrough applications in technologi-cal innovation,also carries many social and ethical risks:privacy exposure and information security control risks;the risk of information spread caused by the derivation of false information;the decision-making and policy risks associated with algorithmic bias,as well as the risk of vague definitions of liability.How to view and respond to these risks,this paper takes the application of ChatGPT as an example,introduces the"So-low Paradox"theory,regarding ethical progress as an increasing function of technological innovation invest-ment,and proposes that ChatGPT has a"technological innovation Solow cycle"characteristic in promoting ethics.Countermeasures and recommendations have been proposed to bridge the ethical risk gap in generative AI:we should establish and improve generative AI laws and regulations,and promote the establishment of a governance system for generative AI.The generative AI supervision platform needs to be strengthened and the process standardization management needs to be improved to standardize and ensure the safe development of the generative AI.The sustainable development environment of the generative AI needs to be further im-plemented and optimized,and the possibility of reshaping more industries should also be explored.
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