Commitment Schemes from OWFs with Applications to Quantum Oblivious Transfer by Thomas Lorünser, Sebastian Ramacher, Federico Valbusa

“…Commitment schemes (CSs) are essential to many cryptographic protocols and schemes with applications that include privacy-preserving computation on data, privacy-preserving authentication, and, in particular, oblivious transfer protocols. …”
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A System Model and Requirements for Transformation to Human-Centric Digital Health by Pekka Ruotsalainen, Bernd Blobel

“…It uses 5 views (ideas, health data, principles, regulation, and organizational and technical innovations) to align with human rights and values and support dignity, privacy, and autonomy. …”
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The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT by Krzysztof Wach, Cong Doanh Duong, Joanna Ejdys, Rūta Kazlauskaitė, Pawel Korzynski, Grzegorz Mazurek, Joanna Paliszkiewicz, Ewa Ziemba

“…To mitigate the risks related to personal data violation, social surveillance, and privacy violation, GAI developers must prioritize ethical considerations and work to develop systems that prioritize user privacy and security. …”
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Perlindungan Hukum Terhadap Pengguna Aplikasi E-Wallet Dana by Hartanto Hartanto, Vincent Rosadi, Ervin Alvaro Yosmar

“…Purposes of the Research: To determine legal protection for consumers for users of the DANA E-Wallet application Methods of the Research: This research is normative legal research, to find legal norms related to consumer protection for the use of the DANA E-Wallet, while the data source used is secondary data. …”
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CORPORATE GOVERNANCE IN THE AGE OF GENERATIVE AI A LEGAL PERSPECTIVE by Yuris Tri Naili, Purwono Purwono

“…The implementation of AI in corporate governance can have a significant impact on the level of governance and create conditions that support better decision-making. However, the use of AI also has negative impacts such as data privacy violations, gender discrimination, reputational loss, and compliance issues. …”
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Generating an Iris-based Seed for Key-pairs in a Blockchain Platform by Marco Fiore, Federico Carrozzino, Gianvito Coppola, Gianni Guariglia, Marina Mongiello

“…However, the management of sensitive biometric data requires privacy measures to protect user information from potential misuse. …”
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Digital Health: Implications for Heart Failure Management by Arvind Singhal, Martin R Cowie

“…Support for patients and clinicians wishing to use these technologies is important, along with consideration of data validity and privacy and appropriate recording of decision-making.…”
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SHAP-Based Feature Selection for Enhanced Unsupervised Labeling by Mary Anne Walauskis, Taghi M. Khoshgoftaar

“…Our work provides an unsupervised framework capable of addressing the challenges of labeling highly imbalanced and unlabeled data while preserving data privacy concerns given the unsupervised nature of our methodology and application of unsupervised SHAP-based feature selection.…”
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Motivators and barriers to the uptake of digital health platforms for family planning services in Lagos, Nigeria: A mixed-methods study by Mohammed M. Alhaji, Muhammad R. Balarabe, David Atama, Arizechukwu Okafor, Doluwamu Solana, Francis Meyo, Chinedu Joseph Okoye, Uchenna Okafor, Babatunde Oyelana, Jennifer Anyanti

“…Thematic analysis was applied to qualitative data; quantitative data were analyzed using descriptive, bivariate, and logistic regression methods. …”
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Federated Learning for Grading Oil Palm Fruit Ripeness in the Oil Palm Industry by Patchanee Laddawong, Yutthapong Pianroj, Piyanart Chotikawanid, Teerasak Punvichai, Saysunee Jumrat, Atitaya Kham-Ouam, Jirapond Muangprathub

“…Current trends focus on computer vision techniques based on image processing and machine learning to improve grading of oil palm fruit bunches at an individual factory, resulting in limited diversity of the data used for evaluation. Collecting data from all factories offers informational advantages but raises privacy concerns. …”
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Empowering Public Health: AI‐Powered Security Solutions for AI‐Driven Challenges by Shahrukh Mushtaq, Qurra‐Tul‐Ain Hameeda

“…These discrepancies are linked to the data used to train these models, implying that incorporating more specialised healthcare data could enhance performance; however, such data usage must align with ethical guidelines. …”
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MEDIA IN AN ERA OF DIGITAL GLOBALIZATION: THE ETHICAL PERSPECTIVES by GABRIEL T. NYITSE, STEPHEN WANG

“…It addresses issues related to media ethics, social media use, data privacy, and the impact of legislation on digital citizenship. …”
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Trust, Performance, and Value: Predicting Student Intentions to Adopt Digital Record Applications by Mohammad Rizal Gaffar, Tangguh Dwi Pramono, Mamun Sutisna, Abdul Malik Sayuti, Ari Ani Dyah Setyoningrum

“…These findings suggested that the UTAUT framework, commonly used in technology adoption studies, may need to be adapted to incorporate demographic and contextual factors, especially trust-related variables, in environments where data privacy is critical. …”
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Role of artificial intelligence in pediatric intensive care: a survey of healthcare staff perspectives in Saudi Arabia by Khouloud Abdulrhman Al-Sofyani, Khouloud Abdulrhman Al-Sofyani

“…Ethical considerations, data privacy, and effective governance to address regulatory and ethical challenges were highlighted as critical concerns.ConclusionHealthcare practitioners in the PICU preferred using AI for routine patient monitoring but had concerns about its use in diagnoses and advanced healthcare. …”
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Optimizing Multi-Microgrid Operations with Battery Energy Storage and Electric Vehicle Integration: A Comparative Analysis of Strategies by Syed Muhammad Ahsan, Petr Musilek

“…The operation of multi-microgrid systems that incorporate electric vehicles presents challenges related to coordination, privacy, and fairness. Mathematical models for each strategy are developed and evaluated using annual simulations with real-world data. …”
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A review on enhancing education with AI: exploring the potential of ChatGPT, Bard, and generative AI by Anduamlak Abebe Fenta

“…Ensuring ethical AI use, transparency, and student privacy is essential. …”
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Examine frameworks policies and strategies for effective information governance in healthcare organizations. by Richard Okyere Boadu, Victor Wireko Adu, Kwame Adu Okyere Boadu, Baishatu Ibrahim, Prince Akey, Amponsah Amishadas Mensah, Godwin Adzakpah, Nathan Kumasenu Mensah

“…The majority of healthcare professionals were familiar with and advocated for adherence to regulatory requirements such as HIPAA (33.7%), GDPR (21.3%) and HITECH Act (14.4%), in making data governance much robust. Efforts were also identified in ensuring privacy and confidentiality during the storage, processing and transmission of patient data mostly by deploying methods such as authentication (58.9%), use of secured computers and software (71.2%) and using secure electronic platforms (66.0%) respectively indicating a keen attention for data stewardship and governance. …”
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Comparison of anonymization techniques regarding statistical reproducibility. by David Pau, Camille Bachot, Charles Monteil, Laetitia Vinet, Mathieu Boucher, Nadir Sella, Romain Jegou

“…<h4>Background</h4>Anonymization opens up innovative ways of using secondary data without the requirements of the GDPR, as anonymized data does not affect anymore the privacy of data subjects. …”
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Federated Learning Applications in Fingerprint and Finger Vein Recognition by Wang Yongchao

“…One of the frameworks for fingerprint recognition, Federated Learning-Fingerprint Recognition, uses sparse representation techniques such as the Discrete Cosine Transform for data preprocessing. …”
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Multi-stakeholder perspective on responsible artificial intelligence and acceptability in education by Alexander John Karran, Patrick Charland, Joé Trempe-Martineau, Ana Ortiz de Guinea Lopez de Arana, Anne-Marie Lesage, Sylvain Sénécal, Pierre-Majorique Léger

“…The data collection, comprising a final sample of 1198 participants, focused on individual responses to four AI use cases. …”
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