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Responsible AI is the practice of designing, developing, and deploying AI with the purpose of having a fair influence on consumers and society, allowing businesses to build trust and confidently scale AI. This refers to a framework with predefined principles, ethics, and rules to govern AI. Responsible AI has two facets: Conscientiousness (Thought Level) and Governance (Execution Level). Conscientiousness involves setting goals, understanding the implications of AI, and designing AI models with ethical considerations. Governance involves creating a responsible AI ecosystem, implementing processes and procedures, and monitoring AI models.