Fuzzy Logic-Driven Governance Models for Responsible AI Adoption in India's Legal and Cybersecurity Ecosystem

India is rapidly implementing AI in the courts, police, government services, banking, and cybersecurity. These technologies can benefit the country, but they also introduce additional hazards like bias, privacy concerns, and ambiguous conclusions. Traditional yes/no criteria are insufficient to control these risks. This chapter discusses how fuzzy logic might aid in responsible AI governance in India. Fuzzy logic allows for degree-based decisions rather than precise answers. It can provide more accurate measurements of fairness, openness, privacy, and cybersecurity risk. The chapter discusses fuzzy risk models, fuzzy rule-based systems, and fuzzy MCDM methods for assessing AI technologies. A step-by-step governance framework is presented to assist policymakers in monitoring AI systems, evaluating risks, and making balanced judgments. The chapter demonstrates that fuzzy logic is a versatile, straightforward, and successful strategy to establishing safe, equitable, and trustworthy AI governance in India.