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Author

Valer Nimineț

Observed institution: University of Bacău
ORCID: 0009-0002-0098-8066
Observed ORCID: 0009-0002-0098-8066
OpenAlex ID: A5134524303
The Role of Artificial Intelligence and Neuroscience in Business Ethics: A Human Resources Perspective
2026 · Liviana Andreea Nimineț, Andreea Feraru-Prepeliță, et al. · BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE · 2
Figure 1. AI tool usage frequency among Romanian of ice employees Source: ejobs Romania survey, 2024 (n=4,741). - https://doi.org/10.70594/brain/17.2/9
2026 · Liviana Andreea Nimineț, Andreea Feraru-Prepeliță, et al. · Zenodo (CERN European Organization for Nuclear Research)
Video - The Role of Artificial Intelligence and Neuroscience in Business Ethics: A Human Resources Perspective
2026 · Liviana Andreea Nimineț, Andreea Feraru-Prepeliță, et al. · Zenodo (CERN European Organization for Nuclear Research)
Video - Algorithmic Deviance and Radicalisation in Digital Platform Societies: Neurocognitive Reinforcement and AI Recommendation Systems
2026 · Ionut Virgil Serban, Bogdan Patrut, et al. · Zenodo (CERN European Organization for Nuclear Research)
Figure 5. Extremity Drift Acceleration. Illustrative representation of ideological extremity progression over time. Accelerating trajectories indicate increasing risk of radicalisation as exposure to extreme narratives intensifies. - https://doi.org/10.70594/brain/17.1/41
2026 · Ionut Virgil Serban, Bogdan Patrut, et al. · Zenodo (CERN European Organization for Nuclear Research)
Figure 3. Network Homophily Density Clustering. Illustrative representation of ideological clustering within digital interaction networks. High homophily density indicates the presence of echo-system structures in which users are primarily exposed to ideologically similar actors. - https://doi.org/10.70594/brain/17.1/41
2026 · Ionut Virgil Serban, Bogdan Patrut, et al. · Zenodo (CERN European Organization for Nuclear Research)
Figure 2. Multi-Level Model of Digital Radicalisation. Conceptual framework illustrating how structural social conditions, neurocognitive reinforcement mechanisms, and engagement-driven recommendation systems interact within digital platforms. Exposure to emotionally salient content can trigger engagement behaviours that generate feedback signals for algorithmic ranking systems, increasing the likelihood of similar content appearing in subsequent exposure cycles. Governance and auditing mechanisms represent potential intervention points designed to mitigate systemic amplification dynamics. - https://doi.org/10.70594/brain/17.1/41
2026 · Ionut Virgil Serban, Bogdan Patrut, et al. · Zenodo (CERN European Organization for Nuclear Research)
Figure 4. Extremity Exposure Trajectories. - https://doi.org/10.70594/brain/17.1/41
2026 · Ionut Virgil Serban, Bogdan Patrut, et al. · Zenodo (CERN European Organization for Nuclear Research)
Figure 6. Neuro-Algorithmic Governance Framework Conceptual framework illustrating a multi-layer governance architecture designed to mitigate algorithmic amplification risks in digital platforms. The model integrates algorithmic design constraints, continuous monitoring of exposure dynamics, independent auditing mechanisms, and neurocognitive risk assessment processes. - https://doi.org/10.70594/brain/17.1/41
2026 · Ionut Virgil Serban, Bogdan Patrut, et al. · Zenodo (CERN European Organization for Nuclear Research)
Figure 1. Algorithmic Reinforcement Cycle in the Multi-level Model of Digital Radicalisation Conceptual representation of the interaction between user engagement behaviour and algorithmic recommendation systems. Engagement signals function as feedback inputs that influence subsequent content ranking, increasing the probability that emotionally salient narratives reappear in future exposure cycles. - https://doi.org/10.70594/brain/17.1/41
2026 · Ionut Virgil Serban, Bogdan Patrut, et al. · Zenodo (CERN European Organization for Nuclear Research)
Algorithmic Deviance and Radicalisation in Digital Platform Societies: Neurocognitive Reinforcement and AI Recommendation Systems
2026 · Ionut Virgil Serban, Bogdan Patrut, et al. · BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE
Works count: 11
Citation count: 2
H-index: 1
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