Demographic-reliant algorithmic fairness: Characterizing the risks of demographic data collection in the pursuit of fairness

MK Andrus, S Villeneuve - Proceedings of the 2022 ACM Conference on …, 2022 - dl.acm.org
Most proposed algorithmic fairness techniques require access to demographic data in order
to make performance comparisons and standardizations across groups, however this data is …

[HTML][HTML] AI, FinTech and clean minerals: A wavelet analysis and quantile value-at-risk investigation

S Karim, A Husain, WM Lim, LF Chan, S Tehseen - Resources Policy, 2024 - Elsevier
The increasing demand for clean minerals and the rise of new-age technologies present
significant challenges and opportunities for sustainable development. This study aims to …

[PDF][PDF] The Bayes model for the protection of human interests

A Zharova, V Elin, M Levashov - International Journal of Electrical …, 2023 - academia.edu
This article is aimed at solving a number of issues related to the problems, risks, and threats
arising from the profiling of human activity. In this study, the Bayesian method was used, to …

Others' information and my privacy: an ethical discussion

Y Ma - Journal of Information, Communication and Ethics in …, 2023 - emerald.com
Purpose Privacy has been understood as about one's own information, information that is
not one's own is not typically considered with regards to an individual's privacy. This paper …

[PDF][PDF] Novel algorithm for efficient privacy preservation in data analytics

PRM Rao, SM Krishna… - Indian Journal …, 2021 - sciresol.s3.us-east-2.amazonaws …
Objective: To address the modern privacy threats in data analytics by designing an efficient
privacy preserving data analytics technique. Methods: The method applied is a non …

[HTML][HTML] Penser la protection des renseignements inférés sur la santé des personnes: du contrôle individuel à l'encadrement des utilisations en fonction de leur …

S Auclair - … . Revue internationale d'éthique sociétale et …, 2023 - journals.openedition.org
Les outils d'analyse prédictive sont maintenant utilisés pour inférer des renseignements sur
la santé des personnes à partir de vastes quantités de données disponibles, notamment …

Social big data applications and challenges

SE Erol, Ç Aksoy, Ş Sağıroğlu - Concurrency and Computation …, 2023 - Wiley Online Library
Lifestyles of individuals have changed drastically in the last two decades with the impact of
social media platforms which transforms individuals from being users into an asset of social …

Big data analytics in healthcare applications: privacy implications for individuals and groups and mitigation strategies

P Mavriki, M Karyda - … : 17th European, Mediterranean, and Middle Eastern …, 2020 - Springer
Big data analytics in healthcare present a potentially powerful means for addressing public
health emergencies such as the COVID-19 pandemic. A challenging issue for health data to …

Big data kuluttajien yksityisyyden näkökulmasta

J Laurila - 2024 - jyx.jyu.fi
Teknologian kehittyessä mahdollisuudet tiedon keräämiseen, säilömiseen ja käsittelyyn
lisääntyvät. Big datalla viitataan määrältään, nopeudeltaan ja vaihtelevuudeltaan suureen …

[HTML][HTML] Modern Privacy Threats and Privacy Preservation Techniques in Data Analytics

SM Krishna, APS Kumar - Factoring Ethics in Technology, Policy …, 2021 - intechopen.com
Today we are living in a digital rich and technology driven world where extremely large
amounts of data get generated every hour in the public domain, which also includes …