Artificial Intelligence in Religious Education: Ethical, Pedagogical, and Theological Perspectives by Christos Papakostas

“…Amid increasing digital transformation in education, theological institutions are exploring AI tools for teaching, assessment, and pastoral engagement. Using a critical literature review and analysis of institutional case studies, the paper examines the historical development of AI in education, current applications in general and theological contexts, and the ethical challenges it introduces, especially regarding decision making, data privacy, and bias as well as didactically grounded opportunities such as AI-mediated dialogic simulations. …”
Get full text

Towards responsible artificial intelligence in education: a systematic review on identifying and mitigating ethical risks by Haotian Zhu, Yao Sun, Junfeng Yang

“…In the technology dimension, risks include privacy invasion, data leakage, algorithmic bias, the black box algorithm, and algorithmic error. …”
Get full text

Artificial intelligence and machine learning in production efficiency enhancement and sustainable development: a comprehensive bibliometric review by Aristidis Bitzenis, Nikos Koutsoupias, Marios Nosios

“…Despite the promising advancements, the review identifies gaps in ethical considerations, especially in data privacy and labor market implications, and suggests avenues for future research, including the implementation of AI and ML in developing economies and Small and Medium Enterprises (SMEs).…”
Get full text

HIV Self-Testing: A Discussion on the Benefits, Limitations, and Implications for Public Health with a Focus on Poland by Aleksandra Kozieł, Igor Domański, Aleksandra Szymczak, Tomasz Dudzik, Brygida Knysz, Bartosz Szetela

“…Results: HIVST is well-accepted, especially among key populations; it can reduce stigma and enhance privacy. The results of studies conducted in Poland indicate that heterosexuals are more inclined to use self-testing methods than traditional diagnostic procedures. …”
Get full text

When and Why Adults Abandon Lifestyle Behavior and Mental Health Mobile Apps: Scoping Review by Patrick G Kidman, Rachel G Curtis, Amanda Watson, Carol A Maher

“…ObjectiveWe explored the abandonment of apps used for managing physical activity, diet, alcohol, smoking, and mental health in free-living conditions, examining the duration of app use before abandonment and the underlying reasons. …”
Get full text

A comprehensive analysis of model poisoning attacks in federated learning for autonomous vehicles: A benchmark study by Suzan Almutairi, Ahmed Barnawi

“…Due to the increase in data regulations amid rising privacy concerns, the machine learning (ML) community has proposed a novel distributed training paradigm called federated learning (FL). …”
Get full text

BACP-LRS: Blockchain and IPFS-based Land Record System by Insaf Boumezbeur, Abdelhalim Benoughidene, Imane Harkat, Farah Boutouatou, Dounia Keddari, Karim Zarour

“…Objective: The purpose of the present work is to propose an architecture for blockchain-based access control for distribution, ensuring information privacy. We take advantage of the benefits of blockchain technology in improving land record management while granting access to electronic data through user permissions. …”
Get full text

Teledentistry-Dental students' preparedness and patients' experiences. by Swarna Math, Janice Diong Li Nga, Huey Fen Lim, Maryam Amin, Camila Pacheco-Pereira

“…Descriptive statistics were used to summarise the data.<h4>Results</h4>Out of 125 students, 88% (N = 110) were contacted by 318 patients. …”
Get full text

Ethical considerations in artificial intelligence-driven environments for higher education by Phumzile D. Mogoale, Agnieta Pretorius, Refilwe C. Mogase, Mmatshuene A. Segooa

“…The IEEE Xplore Digital Library database was used, with keywords such as ‘artificial intelligence OR AI’ AND ‘education’ AND/OR ‘ethics’. …”
Get full text

Distributed Ledger Technology Based Integrated Healthcare Solution for Bangladesh by Md. Ariful Islam, Md. Antonin Islam, Md. Amzad Hossain Jacky, Md. Al-Amin, Md. Saef Ullah Miah, Md. Muhidul Islam Khan, Md. Iqbal Hossain

“…This application collects health data from each user in a systematic manner, which is useful for research institutes and healthcare-related organizations. …”
Get full text

Community perceptions of ethics and professionalism of community health workers: a qualitative exploration by Vijayaprasad Gopichandran, Sudharshini Subramaniam, Balasubramanian Palanisamy, Priyadarshini Chidambaram

“…Results The CHWs ensure good quality of services by effective use of mobile phones and by going beyond the call of duty. …”
Get full text

THE IMPACT OF AI ON FUNDAMENTAL HUMAN RIGHTS IN EU COUNTRIES. EXAMINATION OF ACADEMIC STUDIES AND THE POSITIONS OF NON-GOVERNMENTAL ORGANIZATIONS REGARDING THE ETHICAL AND AI LEGAL... by Doina Ljungholm POPESCU, Carmina-Elena TOLBARU

“…In the European Union, the development and use of AI pose significant challenges regarding the protection of fundamental human rights, such as the right to privacy, equality, and access to justice. …”
Get full text

Perceptions of precision medicine among diverse dementia caregivers and professional providers by Joseph E. Gaugler, Hayley R. McCarron, Lauren L. Mitchell

“…Concerns included cost of precision medicine and insurance coverage; lack of alignment with cultural norms; fraught relationships between communities, health professionals, and researchers; data ownership and privacy; and the trade‐off between knowing risk and treatment benefit. …”
Get full text

On-Device System for Device Directed Speech Detection for Improving Human Computer Interaction by Abhishek Singh, Rituraj Kabra, Rahul Kumar, Manjunath Belgod Lokanath, Reetika Gupta, Sumit Kumar Shekhar

“…To solve this, we propose an On-Device solution that listens to the user continuously for <bold>only</bold> predefined period and classifies the utterance into device-directed or non-device-directed using a deep learning-based model. Since our solution is On-Device, the privacy of the user is maintained. …”
Get full text

Generative AI in higher education: A global perspective of institutional adoption policies and guidelines by Yueqiao Jin, Lixiang Yan, Vanessa Echeverria, Dragan Gašević, Roberto Martinez-Maldonado

“…Despite these efforts, gaps remain in comprehensive policy frameworks, particularly in addressing data privacy concerns and ensuring equitable access to GAI tools. …”
Get full text

Development of a Digital Platform: A Perspective to Advance Space Telepharmacy by Marlise A dos Santos, Juliana Herbert, Ilaria Cinelli, Jose Antonio L Burmann, Vinicius V Soares, Thais Russomano

“…It has specific service protocols for service standardization, including artificial intelligence, to allow agility in services and escalation. All data is protected by privacy and professional ethics guidelines. …”
Get full text

Benchmarking In-Sensor Machine Learning Computing: An Extension to the MLCommons-Tiny Suite by Fabrizio Maria Aymone, Danilo Pietro Pau

“…This benchmark evaluates models trained with Quantization Aware Training (QAT) and compares their performance with Post-Training Quantization (PTQ) across three use cases: Human Activity Recognition (HAR) by means of the SHL dataset, Physical Activity Monitoring (PAM) by means of the PAMAP2 dataset, and superficial electromyography (sEMG) regression with the NINAPRO DB8 dataset. …”
Get full text

Consumer perspectives on the national electronic health record and barriers to its adoption in Germany: does health policy require a change in communication? by Saskia Kröner, Björn Schreiweis, Veronika Strotbaum, Lea Christine Brandl, Monika Pobiruchin, Martin Wiesner

“…Results The top three ePA use cases were medical document collection, simplified data exchange between medical institutions, and emergency medical information. …”
Get full text

Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models by John Fischer, Marko Orescanin, Justin Loomis, Patrick Mcclure

“…Federated learning (FL) is an approach to training machine learning models that takes advantage of multiple distributed datasets while maintaining data privacy and reducing communication costs associated with sharing local datasets. …”
Get full text

Role of digital technology in epidemic control: a scoping review on COVID-19 and Ebola by Amanuel Adugna, Gossa Fetene Abebe, Desalegn Girma, Melsew Setegn Alie, Tewodros Yosef, Daniel Asmelash, Dorka Dessalegn

“…Five main themes emerged: digital epidemiological surveillance (using data visualisation tools and online sources for early disease detection), rapid case identification, community transmission prevention (via digital contact tracing and assessing interventions with mobility data), public education messages and clinical care. …”
Get full text