AI Governance
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Algorithmic Management and Psychological Safety in AI-Driven Hybrid Workplaces
Abstract: The increasing adoption of algorithmic management systems in AI-driven organizations is transforming how employees are monitored, evaluated, and directed. While artificial intelligence enhances efficiency and data-driven decision-making, its impact on employee psychological safety remains underexplored. This study investigates how algorithmic management intensity influences psychological safety and employee engagement in digitally monitored workplaces. Drawing on organizational behavior theory, a quantitative research design was employed using survey data collected from 312 employees …
Published in NOLEGEIN Journal of Organizational Behavior Management · Vol. 9, Issue 2, 2026 · pp. 24–38 Read article
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Human–AI Collaboration in Fraud Detection, Risk Scoring, and Compliance Automation in Fintech
Abstract: As artificial intelligence (AI) systems assume increasingly consequential roles in financial fraud detection, risk scoring, and regulatory compliance, the question of how human expertise and machine intelligence are best integrated has become central to both operational effectiveness and ethical governance. Human–AI collaboration in fintech is not a transitional state on the path to full automation; it is a principled design choice that combines the pattern recognition and scalability of machine …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 9, Issue 2, 2026 · pp. 8–16 Read article
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Ethics in Industry 5.0: Responsible Innovation & Governance
Abstract: Industry 5.0 emphasizes human-centric, sustainable, and resilient growth, moving beyond purely technology-driven industrial models. This paper explores the ethical challenges and governance frameworks necessary to ensure responsible innovation within this evolving paradigm. Industry 5.0 reframes the industrial transition by centering human wellbeing, environmental sustainability, and systemic resilience alongside rapid technological advancement. It highlights the need to balance automation with human values, ensuring that technological progress does not compromise dignity, equity, …
Published in NOLEGEIN Journal of Business Ethics, Ethos & CSR · Vol. 9, Issue 1, 2026 · pp. 6–9 Read article