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Zeros and Ones: Striving to Classify

  • Marco Marabelli

摘要

While the world in which we live is analogic, what computers tend to mimic (e.g., AI) is digital/binary. From an ethical standpoint, it is acceptable (and often helpful) to generate digital files of various nature (documents, photos, audio/video) that reflect reality. However, recent AI applications such as facial recognition systemsFacial recognition systems, emotion detection, and so on illustrate the limits (and challenges) of relying on binary systems to scrutinize an analogic world. In this chapter, I argue that the binary nature of computers does not do justice to the analogic world in which we live.