The role of cognitive computing in NLP by Laura Orynbay, Gulmira Bekmanova, Banu Yergesh, Assel Omarbekova, Ayaulym Sairanbekova, Altynbek Sharipbay

“…Ethical concerns, including biases in AI, data privacy and societal impact, are critical to address for responsible deployment. …”
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Potential benefits and challenges of artificial intelligence in human resource management in public institutions by Kelvin M. Mwita, Felician Andrew Kitole

“…The findings on the perceived benefits of AI in HRM show that increased efficiency, better decision-making, and cost reduction are the top advantages, while ease of use ranks the lowest. However, challenges such as lack of expertise, data privacy concerns, high costs, and resistance to change remain significant barriers. …”
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Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments by Faeiz Alserhani

“…At present, encrypted data is the cornerstone of Internet communication, providing the maximum degree of privacy and security protection for all transmitted data while shielding users against potential cyber threats and attacks. …”
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Internet of Things in healthcare: An adaptive ethical framework for IoT in digital health by Abubakar Wakili, Sara Bakkali

“…This approach was employed to validate and refine the AEFIDH, ensuring it encapsulates critical ethical dimensions, including data privacy, informed consent, user autonomy, algorithmic fairness, regulatory compliance, ethical design, and equitable access to healthcare services. …”
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From motion to meaning: understanding students’ seating preferences in libraries through PIR-enabled machine learning and explainable AI by Gizem Izmir Tunahan, Goksu Tuysuzoglu, Hector Altamirano

“…This study presents a comprehensive, data-driven investigation into students’ seating preferences within academic library environments, aiming to inform user-centered spatial design. …”
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Secure and Trustworthy Open Radio Access Network (O-RAN) Optimization: A Zero-Trust and Federated Learning Framework for 6G Networks by Mohammed El-Hajj

“…To mitigate these, we design a Zero-Trust Architecture (ZTA) enforcing continuous authentication and micro-segmentation for RIC components, coupled with an FL framework that enables collaborative ML training across operators without exposing raw network data. A differential privacy mechanism is applied to global model updates to prevent inference attacks. …”
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Challenges Faced By Female Counselors in Providing HIV Testing and Counseling Services in Kashmir: A Qualitative Interpretive Inquiry by Mariya Amin Qurieshi, Inaamul Haq, Khalid Bashir, S. Mohammad Salim Khan, Samir Mattoo, Irfan Farooq Bhat, Imran Ahmad Rather

“…One interview with a counselor from Leh was conducted via Zoom. Data were transcribed and analyzed using IPA to identify the key themes. …”
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Making the best of it: Adolescents' perceptions of how their home and neighborhood spheres shape their lives by Vibeke Krane, Ellen Andvig

“…The participants were interviewed using individual in-depth interviews. The data were analysed using a thematic analysis and organised into four themes: 1) housing features affecting social life and privacy, 2) moving around, 3) the importance of neighbourhood and 4) worries and dreams. …”
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ARTIFICIAL INTELLIGENCE IN ACADEMIA: OPPORTUNITY OR CHALLENGE? by L.H. Grigoryan, M. V. Badalyan, A.Z. Grigoryan

“…On the other hand, the growing reliance on AI raises serious concerns related to academic integrity, data privacy, algorithmic bias, and the potential deskilling of educators. …”
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A review of machine learning and deep learning for Parkinson’s disease detection by Hajar Rabie, Moulay A. Akhloufi

“…However, challenges like the need for large and diverse datasets, data privacy concerns, and data quality in healthcare remain. …”
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Exploring the Frontier: Generative AI Applications in Online Consumer Behavior Analytics by Takuma Kimura

“…Furthermore, the paper discusses the challenges associated with generative AI, emphasizing the need to consider ethical issues, such as bias and data privacy. This comprehensive review contributes to a deeper understanding of generative AI’s role in OCBA, outlining its applications and functionalities from a technical perspective. …”
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Federated learning-based non-intrusive load monitoring adaptive to real-world heterogeneities by Qingquan Luo, Chaofan Lan, Tao Yu, Minhang Liang, Wencong Xiao, Zhenning Pan

“…Recently, federated learning has enabled NILM to learn from decentralized meter data while preserving privacy. However, as real-world heterogeneities in electricity consumption data, local models, and AMI facilities cannot be eliminated in advance, federated learning-based NILM (FL-NILM) may underperform or even fail. …”
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ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution by Ahmed A. Al-Saedi, Veselka Boeva

“…However, training models within SL is affected by data heterogeneity and sensitivity, and often requires more computational resources than an individual data provider can afford. …”
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Perceptions, Attitudes, and Concerns on Artificial Intelligence Applications in Patients with Cancer by Enes Erul MD, Yusuf Aktekin MD, Furkan Berk Danışman BSc, Şükrü Armanç Gümüştaş, Büşra Saraç Aktekin MD, Emre Yekedüz MD, Yüksel Ürün MD

“…The survey included three distinct sections: (1) Perceptions: Patients’ general views on AI’s impact in oncology; (2) Attitudes: Comfort level with AI performing medical tasks; (3) Concerns: Specific fears related to AI implementation (eg, diagnostic errors, data privacy, healthcare costs). Survey responses were summarized descriptively, and differences by age, gender, and education were analyzed using chi-square tests. …”
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Potential and Legal Challenges of the Metaverse for Environmental Awareness and Sustainability in Nigeria: A Comparative Analysis with Singapore by Paul Atagamen Aidonojie, Toyin Afolabi Majekodunmi, Eregbuonye Obieshi, Omolola Janet Adeyemi-Balogun

“…A total of 304 questionnaires were distributed to Nigerian respondents, and data were analyzed using descriptive and analytical methods. …”
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AI Chatbots in Education: Challenges and Opportunities by Narius Farhad Davar, M. Ali Akber Dewan, Xiaokun Zhang

“…Educators can leverage such chatbots to create course content, generate assessments, evaluate student performance, and utilize them for data analysis and research. However, this technology presents significant challenges concerning data security and privacy. …”
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Decentralized Biobanking Apps for Patient Tracking of Biospecimen Research: Real-World Usability and Feasibility Study by William Sanchez, Ananya Dewan, Eve Budd, M Eifler, Robert C Miller, Jeffery Kahn, Mario Macis, Marielle Gross

“…Biowallet NFTs were held within a custodial wallet, whereas the user experiences simulated token-gated access to personalized feedback about collection and use of individual and collective deidentified specimens. …”
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Opportunities, challenges and development areas of chartered accountants in the Fourth Industrial Revolution by Chené Brands, Claude-Hélène Mayer, Rudolf M. Oosthuizen

“…Research approach/design and method: The research followed a qualitative approach to data collection and obtained the data through 14 semi-structured interviews. …”
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Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges by Alem Febri Sonni, Hasdiyanto Hafied, Irwanto Irwanto, Rido Latuheru

“…The key findings show a significant increase in the use of AI for news writing automation (73% of news organizations), data analysis (68%), and content personalization (62%). …”
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A Comparative Analysis of Blockchain-Smart Contracts-ERP Integration Strategies for Supply Network (SN) Collaboration by Goknur Arzu Akyuz, Omer Ileri

“…After identifying main configuration dimensions of privacy setting (public/private/consortium), smart contract utilization for business logic implementation (full/none) and degree of transactional data decentralization (full/only critical data/none), 18 deployment scenarios are developed for advanced SN collaboration. …”
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