Behavioral And Perceptual Models for Secure Data Analysis and Management

التفاصيل البيبلوغرافية
العنوان: Behavioral And Perceptual Models for Secure Data Analysis and Management
المؤلفون: Sandesh Achar
المصدر: Global Disclosure of Economics and Business. 8:143-152
بيانات النشر: ABC Journals, 2019.
سنة النشر: 2019
مصطلحات موضوعية: General Medicine
الوصف: The ability to monitor and forecast citizen behavior on a large scale developed to be a top target for governments subject to security and intelligence that are collective in the current worldwide culture where the web has become the primary medium for commerce and communication. Meanwhile, significant privacy-related issues have surfaced considering the innovative opportunities that artificial intelligence (AI) generates for collective behavior analysis when presented to governments as a way in which the government will comprehend. In the current study, we conducted an extensive literature analysis using techniques such as data mining and interviews such as in-depth to determine the primary uses of Artificial Intelligence that governments use and describe citizens' privacy issues. Our findings showed that the government employed 11 AI initiatives to enhance interactions with residents, local organizations, services offered by government agencies, and the economy, among other things. Issues are identified relating to the risk of behavior modification, intelligent decision-making, data privacy regulation and law, digital surveillance, and decision automation as they pertain to people's privacy when governments deploy AI. Finally, the report concluded that the debate of developing rules centered on the moral citizen data architecture gathering, with consequences for governments aiming to regulate security, morality, and data privacy. We also suggest a study schedule with 16 research questions to be investigated in future studies.
تدمد: 2307-9592
2305-9168
DOI: 10.18034/gdeb.v8i2.653
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f0f77eaa21ec90fb258707b392f8b3b9
https://doi.org/10.18034/gdeb.v8i2.653
Rights: OPEN
رقم الانضمام: edsair.doi...........f0f77eaa21ec90fb258707b392f8b3b9
قاعدة البيانات: OpenAIRE
الوصف
تدمد:23079592
23059168
DOI:10.18034/gdeb.v8i2.653