Ethical AI-Driven Cloud Ecosystem for Software-Defined Networks: Integrating NLP and Cognitive Software Development Practices
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Abstract
The rapid evolution of Software-Defined Networks (SDNs) and cloud computing has created unprecedented opportunities for intelligent automation and scalable software infrastructures. However, integrating Artificial Intelligence (AI) into these environments raises significant ethical and cognitive challenges that demand responsible design and deployment. This paper presents an Ethical AI-Driven Cloud Ecosystem Framework that fuses Natural Language Processing (NLP) and cognitive software development practices to enable transparent, explainable, and self-adaptive network management. The proposed framework leverages cognitive computing paradigms to model ethical reasoning within SDN controllers and cloud orchestration layers, ensuring privacy preservation, fairness, and compliance with responsible AI standards. By incorporating NLP-based decision engines, the system enhances policy automation, anomaly detection, and intelligent network orchestration through semantic interpretation of operational data. The study further explores the role of ethical AI governance models and trust-aware APIs to mitigate algorithmic bias and enhance accountability within cloud-native SDN environments. Experimental evaluations demonstrate improvements in decision traceability, policy compliance, and adaptive fault recovery, validating the potential of ethical cognition in next-generation intelligent networking infrastructures.
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