The impact of algorithm awareness training on competent interaction with intelligent voice assistants by André Markus, Maximilian Baumann, Jan Pfister, Andreas Hotho, Astrid Carolus, Carolin Wienrich

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SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY by Mohammed A. Al-Doghan, Shaxnoza Abdulhaeva

“… This research investigates the effect of shared decision-making on non-financial performance, with specific attention to the mediating effect of using AI and the moderation effects of security and privacy concerns and top management support. …”
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SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY by Mohammed A. Al-Doghan, Shaxnoza Abdulhaeva

“… This research investigates the effect of shared decision-making on non-financial performance, with specific attention to the mediating effect of using AI and the moderation effects of security and privacy concerns and top management support. …”
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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…However, these advancements generate vast datasets requiring effective data stewardship and curation practices to maintain data integrity, privacy, and accessibility. …”
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A practical guide to apply AI in childhood cancer: Data collection and AI model implementation by Shuping Wen, Stefan Theobald, Pilar Gangas, Karina C. Borja Jiménez, Johannes H.M. Merks, Reineke A. Schoot, Marcel Meyerheim, Norbert Graf

“…This review also outlines the rules and criteria for collecting, processing, and sharing these data. Informed consent and re-consent are required for data collection and re-use, and data quality, privacy, and security as well as data standardisation, harmonisation and interoperability are important for data processing. …”
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Blockchain-enabled Zero Trust-based Secure and Energy Efficient scheme for 6G-enabled UASNs by Altaf Hussain, Shuaiyong Li, Tariq Hussain, Razaz Waheeb Attar, Ahmed Alhomoud, Reem Alsagri, Ahmad Ali Alzubi

“…Using blockchain ensures secure and trustworthy communication, transparency in data sharing, maintenance of trust among nodes, and protection of user privacy. …”
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Secure Blockchain Integration Approach for Knowledge Discovery in Industrial Internet of Things by Rohan Tripathi, Ritam Rao, Vivekananda Bhat K., Abhishek Kumar Pandey, Ashok Kumar Das

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Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm. by Yonggang Huang, Teng Teng, Yuanyuan Li, Minghao Zhang

“…However, when dealing with high-dimensional medical data, the inherent transparency of blockchain conflicts with the necessity of protecting patient privacy. …”
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Securing LLM Workloads With NIST AI RMF in the Internet of Robotic Things by Hassan Karim, Deepti Gupta, Sai Sitharaman

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An efficient and secure data auditing scheme based on fog-to-cloud computing for Internet of things scenarios by Jun-Feng Tian, Hao-Ning Wang

“…With the widespread use of fog-to-cloud computing–based Internet of things devices, how to ensure the integrity of the data uploaded to the cloud has become one of the most important security issues. …”
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Patients’ perspective about synchronous teleconsultation with a general practitioner: a mixed-method systematic literature review by Gabin F. Morillon, Marlène Guillon, Maude Laberge, Alphonse Sowanou, Thomas G. Poder

“…Patient characteristics, including age, socioeconomic status, and technology familiarity, impact acceptance. Privacy concerns, data security, and diagnostic accuracy remain significant barriers. …”
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Digital twins, synthetic patient data, and in-silico trials: can they empower paediatric clinical trials? by ProfMD Mohan Pammi, Prakesh S Shah, MD, Liu K Yang, PhD, Joseph Hagan, ScD, Nima Aghaeepour, PhD, ProfMD Josef Neu, PhD

“…However, such digital innovations have been rarely used in paediatric trials. In this Viewpoint, we propose using virtual patient data to empower paediatric trials. …”
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HA-Med: A Blockchain-Based Solution for Sharing Medical Data with Hidden Policies and Attributes by Xiaohui Yang, Jing Liu

“…Furthermore, the scheme supports attribute revocation and forward secrecy to enhance user privacy. The security of HA-Med is rigorously verified through theoretical analysis, and its feasibility is demonstrated through experiments conducted using the Java-based JPBC library.…”
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Harnessing multi-source data for AI-driven oncology insights: Productivity, trend, and sentiment analysis by Wissal EL HABTI, Abdellah AZMANI

“…The most prominent article emphasized the Explainability of AI methods (XAI) with a profound discussion of their potential implications and privacy in data fusion contexts. Current trends involve the utilization of supervised learning methods such as CNN, Bayesian networks, and extreme learning machines for various cancers, particularly breast, lung, brain, and skin cancer. …”
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Mapping the landscape of government data breaches: A bibliometric analysis of literature from 2006 to 2023 by Supardi Hamid, Mohammad Nurul Huda

“…Data breaches in the government sector are severe threats to cybersecurity and illegal acts that flagrantly violate security and privacy laws. …”
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GABs: A Game-Based Secure and Energy Efficient Data Aggregation for Wireless Sensor Networks by Tristan Daladier Engouang, Yun Liu, Zhenjiang Zhang

“…The content herein models homogeneous WSN environment of highly linked nodes, in a theoretical game with synchronized actions, where, in order to transmit their readings securely across the network in some level of hierarchy, using the technique of data aggregation, sensor nodes with communication and computational resources constraint should establish trusted and direct links between their neighbors for the privacy and integrity of their data against faulty nodes, while ensuring energy saving. …”
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Security access permission authentication simulation of multi-source network big data based on blockchain by Bin LI, Hui HE, Zhongying ZHAO, Jingwei GUO

“…The frequent interaction and storage of big data in multi-source networks have broken traditional data silos, enabling cross regional and cross organizational data access, posing significant challenges to data security and privacy protection.As one of the technologies to protect data and resource security, access authentication faces enormous communication loads while obtaining trust from all data nodes, which can cause data loss and damage.Therefore, a blockchain based research method for multi-source network big data security access permission authentication was proposed.The transformation status of data in network transmission using similarity relationships was measured, and the probability of multi-source network data access based on the similarity matrix was calculated.The data security access contracts were established through blockchain technology, calibrating data access attributes and transaction ciphertexts, and compressing data within corresponding attributes.The access reliability based on the purpose of the access was analyzed, reliability was used as the standard to correspond to the security level, rules under different levels of reliability were accessed, specific permissions were authenticated for data security access, and implementation methods were designed.The experimental results show that using different data attribute contents as testing conditions, encrypting and decrypting data in both conventional and attack modes, the new method can achieve fast authentication response and secure access to network data.…”
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F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems by Francesco Antici, Andrea Bartolini, Jens Domke, Zeynep Kiziltan, Keiji Yamamoto

“…The encoding is based on a Natural Language Processing model and retains sensitive but useful job information for prediction purposes without violating privacy concerns.…”
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CGFL: A Robust Federated Learning Approach for Intrusion Detection Systems Based on Data Generation by Shu Feng, Luhan Gao, Leyi Shi

“…It employs a data generator that integrates artificially generated data with the existing data from local clients by employing label correction and data generation techniques. …”
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Next Arrival and Destination Prediction via Spatiotemporal Embedding with Urban Geography and Human Mobility Data by Pengjiang Li, Zaitian Wang, Xinhao Zhang, Pengfei Wang, Kunpeng Liu

“…However, trajectory data are often mutilated because of personal privacy and hardware limitations, i.e., we usually can only obtain partial trajectory information. …”
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