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Titlebook: Digital Transformation of Identity in the Age of Artificial Intelligence; Kazuhiko Shibuya Book 2020 Springer Nature Singapore Pte Ltd. 20

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Lee Davidson,Robert A. Stebbinss often hold harder mental debts to respond and maintain their interconnections. In this situation, in other words, it can say that all of users simultaneously might share common conditions under mental illness.
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Identity Proofsenders and receivers. Without any troubles and haphazard, it should clarify either not-modified or not-disguised entity. This chapter attempts to introduce zero-knowledge proof and its applicability online.
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mGBL Ethical Issues and Requirementsng ought to serve mutual monitoring and detection mechanisms among multiple participants. Secondly, such deceptive behavior can be refined as a problem on social intelligence of the human for adaptations. Finally, deceptive technology on generative adversarial machine learning should be discussed.
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Identity Ambiguityhe physical border between the human and the AI and keeping the AI as a harmonious partner with the human? Certainly, it is a necessary to reconsider the ethical rules of conduct among them, and it should prepare the harden barriers to draw the borderline against the unforeseen risks.
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