This whitepaper presents HCLTech’s Responsible AI (RAI) framework for ethical, transparent, and accountable AI implementation. It outlines guiding principles including fairness, explainability, and privacy-by-design. The paper details governance mechanisms for risk assessment, bias mitigation, and human oversight. HCLTech advocates embedding RAI across data pipelines, model life cycles, and stakeholder engagement. The framework empowers enterprises to innovate confidently while ensuring compliance with evolving global AI regulations and standards.

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