Ethical Artificial Intelligence Framework for Quantum-Aware Software Development: Integrating Spin–Orbit Coupling and Natural Language Processing in Cloud Environments

Anna Katharina Müller

doi:10.15662/IJRAI.2021.0406009

Authors

Anna Katharina Müller Software Architect, Germany Author

DOI:

https://doi.org/10.15662/IJRAI.2021.0406009

Keywords:

Ethical Artificial Intelligence, Quantum-Aware Software Development, Spin–Orbit Coupling, Natural Language Processing (NLP), Cloud Computing, Responsible AI, Quantum Ethics, Cognitive Software Engineering, Explainable AI (XAI), Sustainable Computing, Reinforcement Learning, Quantum-Inspired Algorithms, AI Governance, Cloud-Native Architecture, Ethical Automation

Abstract

The convergence of quantum physics and ethical artificial intelligence (AI) introduces a transformative paradigm for next-generation software development. This research proposes an Ethical AI framework for quantum-aware software engineering, integrating spin–orbit coupling (SOC) dynamics with Natural Language Processing (NLP) and cloud computing to achieve intelligent, transparent, and sustainable digital ecosystems. The framework leverages SOC-inspired modeling principles to enhance decision-making algorithms in AI systems, improving data coherence, fairness, and interpretability within distributed cloud infrastructures.

By embedding ethical constraints and NLP-driven reasoning into reinforcement-based AI models, the proposed system ensures accountable automation throughout the software lifecycle—from requirements engineering to deployment and maintenance. Additionally, quantum-informed AI architectures enable enhanced parallelism and predictive optimization, reducing computational bias and improving system transparency. The study also introduces a multi-layer ethical validation mechanism, ensuring compliance with fairness, explainability, and data privacy standards across cloud-native applications.

Experimental evaluation within simulated cloud environments demonstrates significant performance gains in adaptive learning efficiency, ethical consistency, and energy optimization. This interdisciplinary framework bridges quantum mechanics, ethical AI governance, and cloud-native software development, offering a scalable blueprint for responsible innovation in future intelligent computing systems.

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