Toward Ethical and Faith-Aware Emotional Intelligence in Machines: Conceptualizing the FIWF Algorithm

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@article{1714853,
      author = {Godwin Ifeanyichukwu Okonkwo, Obikwelu Raphael Okonkwo, Ifeoma Blessing Okonkwo, Chidimma Ngozi Okonkwo},
      title = {Toward Ethical and Faith-Aware Emotional Intelligence in Machines: Conceptualizing the FIWF Algorithm},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {9},
      pages = {323-335},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1714853.pdf},
      abstract = {Recent advances in Artificial Intelligence (AI) have expanded affective computing and emotion recognition, yet most existing systems remain ethically opaque, culturally limited, and spiritually neutral. This paper conceptualizes the Faith-Integrated Weighted Fusion (FIWF) algorithm as a pathway toward ethical and faith-aware emotional intelligence in machines. FIWF serves as the core of FaithAI, an edge-deployable, explainable, and faith-aligned emotion-aware recommendation system that unifies multimodal emotion recognition, explainable AI (XAI), and faith-based counselling. Technically, FIWF applies faith-sensitive rules to weight multimodal inputs-text, audio, image, and video-for emotion inference, enhancing interpretability and fairness. Implemented using TensorFlow Lite and Local Interpretable Model-Agnostic Explanations (LIME), FaithAI operates entirely on-device via Edge AI, ensuring privacy and real-time responsiveness. Empirical evaluation demonstrated 91.7% emotion classification accuracy with a 124 ms latency and a 13.5% reduction in demographic bias compared to standard fusion methods. Grounded in ethical AI principles and intercultural theology, FIWF operationalizes transparency, fairness, and spiritual inclusivity within emotion-aware systems. By embedding cognitive, affective, and faith dimensions into its reasoning process, FIWF advances a model of value-aligned machine empathy, supporting contextually meaningful, faith-sensitive emotional interventions. This study thus contributes both a conceptual and practical foundation for human-centered, ethically responsible, and spiritually intelligent AI.},
      keywords = {Edge AI; Ethical Artificial Intelligence; Faith-Aware AI; FaithAI; FIWF Algorithm; Multimodal Emotion Recognition.},
      month = {March},
      doi = {https://doi.org/10.64388/IREV9I9-1714853}
  }