Conceptualizing smart citizen as smart voter and its relationships with smart election process by Muhammad Younus, Dyah Mutiarin, Halimah Abdul Manaf, Achmad Nurmandi, Andi Luhur Prianto

“…However, it also raises ethical concerns, such as data privacy, digital inequality, and risks of misinformation, which need careful management to sustain public trust. …”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Hot topics included big data, cloud, edge, multimedia, security, privacy, QoS, and activity recognition, while critical domains included industry, healthcare, agriculture, transportation, smart homes and cities, and assisted living. …”
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Engineering young faculty's acceptance of real-time behavior measurement software by Luis Marquez-Carpintero, Francisco Gomez-Donoso, Miguel Cazorla

“…Short training sessions proved critical for successful implementation, addressing financial, privacy, and technical challenges. Findings indicate positive acceptance, with ease of use influencing the intention to use and the image construct. …”
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Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered Care by Eleanor Roy, Sara Malafa, Lina M. Adwer, Houda Tabache, Tanishqa Sheth, Vasudha Mishra, Moaz Elsayed Abouelmagd, Andrea Cushieri, Sajjad Ahmed Khan, Mihnea-Alexandru Gaman, Juan C. Puyana, Francisco Javier Bonilla-Escobar

“…Additionally, concerns about data ownership, consent, and commercial use of patient information demand renewed attention to privacy and transparency. …”
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A Trusted Federated Learning Method Based on Consortium Blockchain by Xiaojun Yin, Xijun Wu, Xinming Zhang

“…Federated learning (FL) has gained significant attention in distributed machine learning due to its ability to protect data privacy while enabling model training across decentralized data sources. …”
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The Role of Artificial Intelligence in Medical Imaging: From Diagnosis to Ethical Frontiers by Nouf Abuhadi

“…The challenges AI encounters in radiography include the ‘black box’ issue, accuracy of data, technological and infrastructural complexity, ethical issues such as patient privacy and data security, overreliance on AI, and bias. …”
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How do strategic attributes of electronic commerce impel the perceived value and electronic loyalty of online food delivery applications (OFDAs) by Muhammad Asif Zaheer, Tanveer Muhammad Anwar, Zoia Khan, Muhammad Ali Raza, Hira Hafeez

“…Design/methodology/approach – The study was quantitative and data were collected from 509 consumers of the district of Rawalpindi, Punjab Pakistan by using a convenience sampling technique who was the users of OFDAs to evaluate the proposed research model. …”
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FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution by Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

“…In addition, this framework also uses homomorphic encryption methods to enhance privacy protection and improve data security. …”
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Efficient encrypted image retrieval in IoT-cloud with multi-user authentication by Mustafa A Al Sibahee, Songfeng Lu, Zaid Ameen Abduljabbar, Ayad Ibrahim, Zaid Alaa Hussien, Keyan Abdul-Aziz Mutlaq, Mohammed Abdulridha Hussain

“…Encryption is one of the best methods to safeguard the security and privacy of an image. However, looking through encrypted data is difficult. …”
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Exploring the Barriers and Facilitators to Implementing a Smartphone App for Physicians to Improve the Management of Acute Myocardial Infarctions: Multicenter, Mixed Methods, Obser... by Katelyn J Cullen, Hassan Mir, Madhu K Natarajan, Marija Corovic, Karen Mosleh, Jacob Crawshaw, Mathew Mercuri, Hassan Masoom, JD Schwalm

“…The surveys identified key barriers around technology, privacy, and access to required Wi-Fi that needed to be addressed during app implementation to facilitate uptake and use. …”
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The Intersection of AI, Ethics, and Journalism: Greek Journalists’ and Academics’ Perspectives by Panagiota (Naya) Kalfeli, Christina Angeli

“…Regarding ethical concerns, there is evident skepticism and caution among journalists and academics about issues, such as, data bias, transparency, privacy, and copyright, which are further intensified by the absence of a regulatory framework.…”
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BERTinchamps: Cost-Effective In-House Training of Language Models in French by Amaury Fierens, Sébastien Jodogne

“…While training LMs directly inside an institution is desirable for leveraging local data and addressing data privacy concerns, this process demands a costly and complex computational infrastructure. …”
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Association between sedentary behaviour and chronic pelvic pain in women: a protocol for systematic review and meta-analysis by Lei Tang, Guohua Wang, Yangyan Guo

“…The research team will ensure data privacy and participant confidentiality through anonymised data processing and strict compliance with relevant regulations. …”
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A Survey on Public Key Encryption with Keyword Search: Taxonomy and Methods by M.H. Noorallahzade, R. Alimoradi, A. Gholami

“…Given the many benefits that cloud computing brings, organizations tend to outsource most of their data to reduce a large portion of their costs, but concern about the privacy of data is a major obstacle to outsourcing sensitive data. …”
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Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction by Shahariar Hossain Mahir, Md Tanjum An Tashrif, Md Ahsan Karim, Dipanjali Kundu, Anichur Rahman, Md. Amir Hamza, Fahmid Al Farid, Abu Saleh Musa Miah, Sarina Mansor

“…This approach promotes data privacy and allows collaborative learning while working under cross-border data-sharing constraints, therefore improving the accuracy of prediction. …”
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An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM) by Zhigang Yu, Jiahui Liu, Mingchuan Yang, Yanmin Cheng, Jie Hu, Xinchi Li

“…Then, Federated Learning is applied to share data information among different users without involving user privacy. …”
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From Surveillance to Sentencing: Evaluating AI's Role in Indian Criminal Justice by Kumar Navin

“…However, the integration of AI into criminal investigations raises critical concerns regarding privacy, surveillance, data protection, and algorithmic bias. …”
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Advancements of Deep Learning Model-Based Rehabilitation Training System by Xu Chiyu

“…The experimental results show that there is still room for the development of rehabilitation training assessment systems in terms of privacy, interpretation ability, and application scenarios, and that researchers can address the above issues by using federated learning, developing an expert system, and using transfer learning domain adaptation, respectively.…”
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Artificial intelligence in academic research: Benefits, challenges, and ethical dimensions in doctoral studies by Zaki EL HANI, Jaouad KARROUM, Abdelmajid ELOUADI, Aniss MOUMEN

“…However, this transformation is accompanied by challenges, including ethical concerns such as algorithmic bias, risks to data privacy, and over-reliance on automation, which may erode critical thinking and human judgment. …”
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Energy Intelligence: A Systematic Review of Artificial Intelligence for Energy Management by Ashkan Safari, Mohammadreza Daneshvar, Amjad Anvari-Moghaddam

“…Despite these advances, there are still additional challenges that remain, such as concerns regarding the privacy of data, challenges with integrating different systems, and issues related to scalability. …”
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