Security analysis of cyber physical system using digital forensic incident response by Pranita Binnar, Sunil Bhirud, Faruk Kazi

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The Possibilities of Legal Leveling of Political, Organizational and Managerial Risks of Using Artificial Intelligence by Alexander S. Kiselev

“…The absence of human morality in artificial intelligence is emphasized, leading to ethical concerns regarding AI application, data privacy issues, the creation and spread of misinformation (for example, deepfakes), AI-driven discrimination, and unequal access to AI technologies. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Moreover, federated learning systems present a promising solution for ensuring privacy and security when dealing with sensitive financial data. …”
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Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review by Rongrong Zhong, XiaoHui Wu, Jun Chen, Yiru Fang

“…Digital phenotyping, which involves using data from smartphones or other digital devices to assess mental health, has emerged as a promising tool for distinguishing between these two disorders. …”
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Multi-Modal Comparative Analysis on Audio Dub Detection Using Artificial Intelligence by Divya Jennifer Dsouza, Anisha P. Rodrigues, Roshan Fernandes

“…The audio files are segmented using libROSA, the Python package for analysis of music and audio files. …”
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Insights Gained from Using AI to Produce Cases for Problem-Based Learning by Enjy Abouzeid, Patricia Harris

“…ChatGPT respects patient data privacy and confidentiality by abstaining from providing scanned images, and while AI can generate discussion questions for tutorials, it may require modification to enhance specificity and provoke critical thought. …”
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Generative AI on professional development: a narrative inquiry using TPACK framework by Buddhi Laxmi Lakhe Shrestha, Niroj Dahal, Md. Kamrul Hasan, Santosh Paudel, Hiralal Kapar

“…However, challenges such as technical skill gaps, ethical concerns about data privacy, and the risk of over-reliance on AI, which may hinder critical thinking and teacher-student rapport, were identified. …”
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The use of modern e-health services including telemedicine and telepharmacy for remote patient care in Saudi Arabia by Farah K. Alhomoud

“…Participants reported perceived risks regarding privacy and data protection, and clinical risks associated with using e-health tools. …”
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An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches by Malaika Asif, Fasih Ur Rehman, Zoya Rashid, Altaf Hussain, Alina Mirza, Waqar Shahid Qureshi

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Artificial Intelligence in Education: Analysis and Assessment of Legal Knowledge Using AI Tools by Anvar J. Khurramov, Mavluda A. Axmedshaeva, Fiyuza A. Mukhitdinova, Gulnora A. Xudayberdiyeva, Shahnoza S. Almosova, Makhmud M. Makhamatov, Sherzod R. Khayitov

“…The study examined ethical concerns such as algorithmic bias, transparency, and student privacy, as well as legal dimensions related to consent, data protection, and institutional responsibility. …”
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The algorithmic consumer: A conceptual investigation of AI’s influence on consumer preferences and decisions by Annur Islam Sifat

“…By a thorough literature review and commentary, I critically analyzed the impact of AI’s personalization algorithm and addressed ethical implications in terms of potential bias, data privacy, and transparency. This paper establishes a conceptual framework to illustrate how AI technologies, including machine learning, natural language processing, and predictive analytics, intersect with facets of consumer psychology, allowing for personalization of experiences, market segmentation, and influencing behaviour in real time. …”
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OPPORTUNITIES AND RISKS OF USING AI-BASED APPLICATIONS IN RESEARCH:  THE CASE OF UKRAINIAN UNIVERSITIES by Oleksandra Borodiyenko, Iryna Drach, Nataliia Bazeliuk, Olha Petroye, Iryna Reheilo, Oleksandr Bazeliuk, Olena Slobodianiuk

“…However, respondents did not express major concerns regarding ethical issues like data privacy, ghost authorship, or dishonesty and irresponsibility in the use of AI systems. …”
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A qualitative study on ethical issues related to the use of AI-driven technologies in foreign language learning by Marcel Pikhart, Blanka Klimova

“…The results also highlight several grave ethical issues related to privacy in foreign language learning apps. This is the first research drawing attention to the topic of ethical issues when using AI-driven foreign language learning apps and it can be considered a pioneering work in this neglected area.…”
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Development and implementation of an electronic health record system for use in humanitarian emergencies, disaster response, and conflict zones. by Sarah D Draugelis, Erik C Brown, Donald A Donahue, Justin Hickman, Sean G Smith, Philip Sutherland, George A Yendewa, Amir M Mohareb

“…Ongoing and future work in adapting electronic health records to international humanitarian response will emphasize data security, patient privacy, equity, and the rapid translation of electronic health data to improve population health. …”
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Can open source large language models be used for tumor documentation in Germany?—An evaluation on urological doctors’ notes by Stefan Lenz, Arsenij Ustjanzew, Marco Jeray, Meike Ressing, Torsten Panholzer

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“When he is around, I’ll take the PrEP, but when he is not, I will not take PrEP”: key influences on PrEP use decisions among women attending family planning clinics in Kenya by Vallery Ogello, Kristin Beima-Sofie, Sandra Urusaro, Mercy Awuor, Annabell Dollah, Winnie Atieno, Cynthia Wandera, Daniel Matemo, Jennifer F. Morton, Kenneth Ngure, Kenneth Ngure, John Kinuthia, John Kinuthia, Kenneth K. Mugwanya, Kenneth K. Mugwanya

“…Participants expressed a preference for alternative PrEP formulations, such as injectable PrEP, due to perceived ease of use, privacy, and potential to support adherence.ConclusionPrEP discontinuation and restart cycles largely reflected changes in HIV risk. …”
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FedDB: A Federated Learning Approach Using DBSCAN for DDoS Attack Detection by Yi-Chen Lee, Wei-Che Chien, Yao-Chung Chang

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Decentralized Infrastructure for Digital Notarizing, Signing, and Sharing Documents Securely Using Microservices and Blockchain by Irimia Cosmin-Iulian, Iftene Adrian

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Leveraging dual‐blockchain collaboration for logistics supply chain supervision by Licheng Lin, Senshan Pan, Pujie Jing, Xiangmei Song

“…Current blockchain‐based LSC features distributed structure and data privacy requirements, hindering the supervision of logistics transactions. …”
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Research on insider threat detection based on personalized federated learning and behavior log analysis by Xiaoyun Ye, Faqin Luo, Huangrongbin Cui, Jinlong Wang, Xiaoyun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao

“…Drawing on the DeepInsight concept, we convert different data types into image formats for use with Convolutional Neural Networks (CNNs) to train insider threat detection models. …”
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