This study proposes a comprehensive methodology for developing responsible AI systems for Natural Language Processing (NLP), sentiment analysis, and online reviews ranking. Given the pervasive role of online reviews in shaping consumer behavior, it is crucial to develop models that are both effective and ethical. The proposed framework emphasizes the collection and preprocessing of diverse datasets, the development of transparent and interpretable AI models, and the incorporation of ethical considerations such as privacy, fairness, and transparency. The study ultimately aims to provide a solid foundation for developing AI systems that enhance the accuracy and fairness of sentiment analysis and reviews ranking while upholding high ethical standards.