Abstract
Active use of geolocation tracking in AI-enabled applications demands to have an understandable and robust privacy policy implemented along with these services. Many already deployed policies may lack important statements to achieve this robustness, and some are too cumbersome for the end users to understand. A privacy policy template has been proposed in this research which is intelligible to the privacy policy developers and end-users. It includes all typical information which a policy should have. Based on this template, two sample privacy policies also have been proposed. The aim of presented project was to help developers make policies that will protect the organization from potential liabilities and help users understand how their data are being collected, stored, and processed in simpler words.
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Patel, K., Vyas, K., Patel, M., Vyas, D., Butakov, S. (2022). Privacy Protection in Geolocation Monitoring Applications. In: Misra, S., Oluranti, J., Damaševičius, R., Maskeliunas, R. (eds) Informatics and Intelligent Applications. ICIIA 2021. Communications in Computer and Information Science, vol 1547. Springer, Cham. https://doi.org/10.1007/978-3-030-95630-1_13
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