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Conference Papers Year : 2018

Artificial Unintelligence: Anti-intelligence of Intelligent Algorithms

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Abstract

In the age of big data, artificial intelligence (AI) algorithms play an important role in demonstrating the value of data, but its negative effects are increasingly prominent. Researchers focus more on the obvious issues like privacy protection these days, and we assume that technologies like AI will make people wiser. But due to the not-so-obvious limits of AI, it may push us to the opposite side–artificial unintelligence. In this paper, a detailed analysis of the process of value creation from data is presented first. Then, based on the above process, the role played by AI algorithms is analyzed. Next, the anti-intelligence features of AI algorithms, such as the tendency of ‘fatuous King’, the generalization of quick thinking, a faster transformation of master/slave at the individual level, and retribalization at the group level, are deeply discussed. Finally, some possilbe ways of circumventing the aforementioned problems are offered.
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Dates and versions

hal-02118828 , version 1 (03-05-2019)

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Attribution - CC BY 4.0

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Yuhong Zhang, Umer Nauman. Artificial Unintelligence: Anti-intelligence of Intelligent Algorithms. 2nd International Conference on Intelligence Science (ICIS), Nov 2018, Beijing, China. pp.333-339, ⟨10.1007/978-3-030-01313-4_35⟩. ⟨hal-02118828⟩
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