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  1. Verifiable record of AI output for privacy protection: public space watched by AI-connected cameras as a target example.Yusaku Fujii - forthcoming - AI and Society:1-10.
    AI systems, which receive vast amounts of information including privacy information, are emerging. Protecting the privacy of the general public is an important issue for democracies. In this study, “Public space watched by AI- connected cameras” is taken as an example of an AI-system that is expected to be used for public purposes and has a relatively high privacy violation risk. It is defined as a wide public area where every point is monitored by multiple AI-connected street cameras. The following (...)
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  • The democratic ethics of artificially intelligent polling.Roberto Cerina & Élise Rouméas - forthcoming - AI and Society:1-15.
    This paper examines the democratic ethics of artificially intelligent polls. Driven by machine learning, AI electoral polls have the potential to generate predictions with an unprecedented level of granularity. We argue that their predictive power is potentially desirable for electoral democracy. We do so by critically engaging with four objections: (1) the privacy objection, which focuses on the potential harm of the collection, storage, and publication of granular data about voting preferences; (2) the autonomy objection, which argues that polls are (...)
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