Characterizing user mobility using mobile sensing systems by Sébastien Faye, Walter Bronzi, Ibrahim Tahirou, Thomas Engel

“…Furthermore, we detail the need to use methods that respect the privacy of users and investigate the possibilities offered by network traces, including Wi-Fi and Bluetooth communication technologies. …”
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Ethical Considerations for Using Artificial Intelligence in Digital Technologies by William Jorgensen, Matt Bjornsen, Rikke Carlsen

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THE POSSIBILITY OF USING ELECTRONIC MEDICAL RECORDS FOR CLINICAL OBSERVATION by R. D. Kurbanov, R. Kh. Trigulova

“…Of course, there are problems and obstacles to expanding the use of EMC, and one of the solutions to these obstacles is to address issues of semantic compatibility, privacy, and security. …”
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FFM: Flood Forecasting Model Using Federated Learning by Muhammad Shoaib Farooq, Rabia Tehseen, Junaid Nasir Qureshi, Uzma Omer, Rimsha Yaqoob, Hafiz Abdullah Tanweer, Zabihullah Atal

“…Federated Learning is the most advanced technique of machine learning (ML) that guarantees data privacy, ensures data availability, promises data security, and handles network latency trials inherent in prediction of floods by prohibiting data to be transferred over the network for model training. …”
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Testing scenarios for using telepresence robots in healthcare settings by Janika Leoste, Kadri Strömberg-Järvis, Tarmo Robal, Kristel Marmor, Katrin Kangur, Anne-Mari Rebane

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Comments on “Exploring Secure V2X Communication Networks for Human-Centric Security and Privacy in Smart Cities”—Privacy-Preserving Certificate in V2X Communic... by Abel C. H. Chen

“…The proposed framework validates vehicle legitimacy using individual certificates and subsequently transmits data collected and integrated by intermediate entities to the blockchain, thereby avoiding direct exposure of vehicle privacy. …”
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A systematic review of digital twins’ potential for citizen participation and influence in land use agenda-setting by David Adade, Walter Timo de Vries

“…The findings also reveal two ways of citizen participation: (1) providing data for developing digital twins and (2) utilising digital twins to analyse and identify key land use challenges and to push forward land use claims and proposals within a policy system.…”
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What multimodal components, tools, dataset and focus of emotion are used in the current research of multimodal emotion: a systematic literature review by Reny Rahmalina, Wawan Gunawan

“…Hence, this research aims to identify research trends on multimodality and emotions studied from 2018 to 2022. The method used in this research was systematic literature review (SLR) to review, identify, evaluate and interpret all existing research on this topic. …”
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Trust-aware privacy-preserving QoS prediction with graph neural collaborative filtering for internet of things services by Weiwei Wang, Wenping Ma, Kun Yan

“…However, issues related to information credibility, user data privacy, and prediction accuracy in QoS prediction for IoT services have become significant challenges in current research. …”
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Blockchain-enabled efficient distributed attribute-based access control framework with privacy-preserving in IoV by Ye Zhang, Leyou Zhang, Qing Wu, Yi Mu

“…Aiming at solving the challenges of the Internet of Vehicles (IoV), such as privacy sensitive data exposing, data being vulnerable to unauthorized access and tampered with and the single point of failure of the cloud server, this paper introduces a blockchain-enabled data access method based on attribute-based encryption. …”
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A flexible privacy-preservation approach for IoT-driven smart Hospital employing diverse distribution methods by Irin Loretta G., Settu Ashwini, Prameela M., Naga Malleswara Rao D.S., Kalaiyarasi M., Saravanan S.

“…DP Smart Hospital uses Laplace or exponential distributions in differential privacy strategies to protect sensitive data generated by IoT devices. …”
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Communication-efficient and privacy-preserving federated learning for medical image classification in multi-institutional edge computing by Nithin Melala Eshwarappa, Hojjat Baghban, Ching-Hsien Hsu, Po-Yen Hsu, Ren-Hung Hwang, Mu-Yen Chen

“…However, the centralized learning (CL) method is problematic in terms of data privacy because of the constraint of transferring substantial volumes of data to a central server. …”
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A decade of research on genetic privacy: the findings of the GetPreCiSe Center at Vanderbilt University by Christopher Slobogin, Karli Tellis, Ellen Wright Clayton, Ellen Wright Clayton, Ellen Wright Clayton, Ellen Wright Clayton, Jay Clayton, Ayden Eilmus, Bradley A. Malin, Bradley A. Malin, Bradley A. Malin

“…While this research shows that the risk of unauthorized re-identification is often over-stated, it also identifies possible ways privacy can be compromised. Several technical and legal methods for reducing privacy risks are described, most of which focus not on collection of the data, but rather on regulating data security, access, and use once it is collected. …”
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Theme-Rheme Analysis in Probing Google’s Coercion Trespassing User’s Privacy; A Forensic Linguistics Research by Sabtra Lesmana, Sawirman, Fajri Usman

“…It represents the clause analysis through the use of theme-rheme in probing the user's privacy violations in Google's user privacy policy agreement: a forensic linguistics research. …”
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Losing control: The effects of social media fatigue, privacy concerns and psychological reactance on social media advertising by Nathalie Nicola

“…This caused users to feel negatively after using SMP. Ad avoidance is caused by significant privacy concerns when encountering personalized ads, such as suspicion as to how data is used, the feeling of being watched and listened to, as well as annoyance at the irrelevance and repetitiveness of SMA. …”
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Mediating role of trust and privacy concerns between web assurance mechanism and purchase intention of online products by Charu Saxena, Pratibha Thakur

“…A conceptual model has been framed to investigate the direct and indirect relationship between web assurance mechanism and purchase intention of online products via trust and privacy concern. This study uses data collected from 342 respondents. …”
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Ethical-legal implications of AI-powered healthcare in critical perspective by Mohammad Nasir, Kaif Siddiqui, Samreen Ahmed

“…This requires an appraisal of AI use from a legal and ethical perspective. A review of the existing literature on AI in healthcare available on PubMed, Oxford Academic and Scopus revealed several common concerns regarding the relationship between AI, ethics, and healthcare—(i) the question of data: the choices inherent in collection, analysis, interpretation, and deployment of data inputted to and outputted by AI systems; (ii) the challenges to traditional patient-doctor relationships and long-held assumptions about privacy, identity and autonomy, as well as to the functioning of healthcare institutions. …”
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It’s Time to Relax: The Critical Importance of Digital Mental Health Products in the Context of Surveillance Capitalism by Sena Partal, Sasha Smirnova

“…We want to move beyond the personal data privacy debate and tackle other potential issues – what does this data sharing mean in terms of a shift in collective psychology and ideologies? …”
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Ethics of Artificial Intelligence and Robotics: Key Issues and Modern Ways to Solve Them by N. Yadav

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Federated XAI IDS: An Explainable and Safeguarding Privacy Approach to Detect Intrusion Combining Federated Learning and SHAP by Kazi Fatema, Samrat Kumar Dey, Mehrin Anannya, Risala Tasin Khan, Mohammad Mamunur Rashid, Chunhua Su, Rashed Mazumder

“…This act of sharing the original network data with another server can worsen the current arrangement of protecting privacy within the network. …”
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