Cognitive Cloud Computing and Ethical AI Integration: Leveraging Spin–Orbit Coupling and NLP for Responsible Software Innovation
DOI:
https://doi.org/10.15680/IJCTECE.2021.0404005Keywords:
Cognitive Cloud Computing, Ethical Artificial Intelligence, Spin–Orbit Coupling, Natural Language Processing (NLP), Responsible Software Innovation, Quantum-Inspired Computing, Explainable AI (XAI), AI Ethics, Intelligent Cloud Orchestration, Responsible AI Frameworks, Quantum-Aware SystemsAbstract
The rapid evolution of cognitive cloud computing and artificial intelligence (AI) has transformed software development into an intelligent, adaptive, and data-driven discipline. However, as computational complexity and automation deepen, ensuring ethical governance and quantum-level awareness in AI systems becomes essential. This paper introduces a novel Ethical AI integration framework that leverages spin–orbit coupling (SOC) principles and Natural Language Processing (NLP) to enable responsible, transparent, and high-performance software innovation in cloud environments.
The proposed framework models SOC-inspired data entanglement mechanisms to improve the contextual learning and interpretability of AI-driven decision-making within cloud infrastructures. By embedding NLP-based ethical reasoning modules, the system autonomously detects bias, ensures fairness in machine learning workflows, and enhances human-AI collaboration through explainable outputs. Furthermore, the integration of cognitive cloud services supports self-adaptive orchestration, allowing software components to dynamically optimize resource allocation, data routing, and security protocols based on ethical and operational parameters.
A prototype implementation demonstrates the framework’s ability to reduce algorithmic bias, improve semantic transparency, and enhance computational efficiency while maintaining alignment with ethical AI principles. This interdisciplinary approach bridges quantum-inspired modeling, AI ethics, and cloud-native software engineering, contributing to the development of responsible AI ecosystems capable of sustainable innovation in digital infrastructure
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