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Artificial Intelligence and the Privacy Paradox of Opportunity, Big Data and The Digital Universe. 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). :150—153.
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2019. Artificial Intelligence (AI) can and does use individual's data to make predictions about their wants, their needs, their influences on them and predict what they could do. The use of individual's data naturally raises privacy concerns. This article focuses on AI, the privacy issue against the backdrop of the endless growth of the Digital Universe where Big Data, AI, Data Analytics and 5G Technology live and grow in The Internet of Things (IoT).
User Disbelief in Privacy Paradox: Heuristics That Determine Disclosure. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. :2837–2843.
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2016. We conducted a series of in-depth focus groups wherein users provided rationales for their own online privacy behaviors. Our data suggest that individuals often take action with little thought or evaluation, even showing surprise when confronted with their own behaviors. Our analysis yielded a battery of cognitive heuristics, i.e., mental shortcuts / rules of thumb, that users seem to employ when they disclose or withhold information at the spur of the moment. A total of 4 positive heuristics (promoting disclosure) and 4 negative heuristics (inhibiting disclosure) were discovered. An understanding of these heuristics can be valuable for designing interfaces that promote secure and trustworthy computing.