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Polycentric Generative‑Assurance Theory: Toward Adaptive Governance in Generative AI-Augmented Software Assurance
Get PDFThe integration of generative AI (GenAI) into software development is transforming how code is authored, reviewed, and assured. While GenAI boosts productivity and creativity, it disrupts longstanding assurance frameworks, introducing epistemic opacity, validation deficits, accountability ambiguities, and governance challenges. This paper introduces Polycentric Generative-Assurance Theory (PGAT), a sociotechnical framework explaining how trust in AI-generated code is sustained through five interdependent responsibilities: epistemic mapping, adversarial socio-technical analysis, meta-validation, computational ethics, and evolutionary governance. Our findings reveal that assurance is no longer linear or role-bound, but rather a distributed, adaptive, and emergent practice. PGAT reframes assurance as a responsible process of trust orchestration, where multiple responsibilities coalesce to ensure the reliability, maintainability, and ethical integrity of software development practices
The Confidence Cage: How Creative Self-Efficacy Hinders Gen AI-Augmented Ideation
Get PDFDrawing on Associative Theory and Threat-Rigidity Theory, we examine why generative AI's creative benefits are unevenly distributed. We argue that while AI can enhance creative performance by expanding associative ideation, this effect is weaker for individuals with high creative self-efficacy (CSE). AI can threaten the identity of people with high CSE (strong belief in their creative abilities), making them less able to integrate new ideas from AI and more cognitively rigid. In contrast, people with low CSE tend to feel less threatened, maintain their cognitive flexibility, and gain more from AI input. Our moderated mediation model is supported by the results of a pre- and post-test experiment (N=300), which demonstrates that AI support enhances creativity through improved ideation. For those with low CSE, this effect was more pronounced. These results reveal how a psychological strength can become a liability and suggest strategies to foster more effective human-AI collaborations
Virtual Private Networks over Satellite Communication Systems in Support of Secure Telemedical Communication in Expeditionary Environments
Get PDFWhile the U.S. Military continues to deploy around the world, the need for medical support in austere environments remains. The ability to effectively fulfill this need is augmented by the use of telemedical support. The ability to effectively provide telemedical assistance from afar requires the use of satellite communications and often resorts to civilian service providers. This paper evaluates the efficacy of using satellite networks with the added security and privacy of virtual private networks (VPNs). We evaluate the performance impact of internet protocol security (IPsec), OpenVPN, and Wireguard when applied over a geostationary satellite provider, Viasat, and a low Earth orbit satellite provider, Starlink. We find that the implementation of VPNs induces a small but consistent performance impact on latency and a negligible impact on Inter-Packet Delay Variation. The implementation of a VPN results in a reduction in throughput, especially in download throughput. We specifically find that OpenVPN has the largest impact on throughput with Wireguard providing the highest overall throughput. IPsec is the most consistently performing VPN and is our recommendation for enterprise applications
Co-ordinated Operation of Independent Water and Power System with Limited Information Sharing
Get PDFTypically, water and power systems are two independent infrastructures. However, their operations are interrelated due to the energy consumption units in the water system, while water tanks and variable speed pumps can be managed to provide flexibility to the power system. We analyze the independent but coordinated equilibria operation of the two systems by simultaneously solving the Karush-Kuhn-Tucker conditions of both systems' models. We characterize the equilibria under different temporal and spatial granularity information exchange levels between the two system operators. An example is analyzed to examine the flexibility of the water system provided and the storage strategy in the two systems under different levels of information interchange on prices
FedSDMU: A new Paradigm for Healthcare Data Privacy Compliance using Federated Synthesis, Differential Privacy, and Machine Unlearning
Get PDFThis study introduces FedSDMU, an innovative framework integrating Federated Learning (FL), Synthetic Data Generation (SDG), Differential Privacy (DP), and Machine Unlearning (MU) to enhance privacy-preserving healthcare analytics. FedSDMU enables collaborative model training across decentralized datasets without sharing raw data, safeguarding patient privacy. It strengthens security by injecting noise during training, preventing individual data inference. A key innovation is its federated synthesis, leveraging DP for secure generative model training and MU for data deletion, allowing patients to revoke consent while ensuring regulatory compliance. This framework outperforms existing models, strictly aligning with HIPAA and GDPR, while mitigating risks, enhancing prediction quality, addressing bias, and refining models by securely deleting data points. By tackling data scarcity, imbalance, and heterogeneity, FedSDMU establishes a robust and reliable analytical system. Its contributions pave the way for future studies, extending the use of privacy-preserving AI applications in healthcare
Introduction to the Minitrack on Socio-Technical Issues in Organizational Information Technologies
No full textDesigning Digital Sovereignty: A Framework for Digital Economies Based on Cryptoeconomic Systems
Get PDFThe concentration of market power among technology giants in digital economies has created unprecedented challenges for competition, innovation, and democratic governance, highlighting the necessity for digital sovereignty. This work addresses the fragmented understanding of foundational components required to build sovereign digital economies based on cryptoeconomic systems. We employ a systematic literature review, analyzing 40 high-quality publications to synthesize core building blocks for digital sovereignty in digital economies and validated our findings through semi-structured interviews. This work introduces a comprehensive conceptual framework that categorizes foundational building blocks into clearly defined layers and components, bridging technical, economic, regulatory, and governance aspects. By systematically identifying these building blocks and linking them to digital sovereignty principles, this work provides actionable insights for strategic decision-making and practical implementation challenges. This helps to advance the discourse on digital sovereignty by offering a structured approach to understanding and implementing cryptoeconomic systems as viable alternatives to current centralized digital infrastructures
Mapping the Problem Spaces for Novice Researchers in Conducting Systematic Literature Reviews
Get PDFSystematic literature reviews require substantial expertise in methodology and subject domain. While experienced scholars tend to navigate these challenges, novice researchers are often overwhelmed by the intricacies of research methods. Through interviews with novice researchers, this study develops an intermediate artifact combining problem analysis and objectives and requirements definition echelons, namely by articulating 17 problem spaces novice researchers face when conducting systematic literature reviews, highlighting challenges in search string formulation and initial screening processes. The findings establish a foundation for targeted support while functioning as a diagnostic instrument for research planning