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Artificial Intelligence Governance

AI Governance

AI Governance involves the establishment of policies, processes, and frameworks to guide the strategic, ethical, and compliant use of artificial intelligence within an organization. It encompasses decision-making structures, risk management, and compliance with regulations to ensure that AI technologies align with the organization's goals and values.
Regulatory AI Governance specifically refers to the policies and practices implemented by an organization to comply with external regulations and legal frameworks governing the use of artificial intelligence. It involves ensuring that AI systems adhere to industry-specific regulations, standards, and legal requirements.
AI Governance is a broader concept that sets the structure and rules for AI implementation within an organization. It includes considerations for responsible AI but extends to organizational aspects such as decision-making, risk management, and overall alignment with business objectives. Regulatory AI Governance is a subset of AI Governance that focuses specifically on meeting external regulatory requirements. It involves monitoring and adapting to changes in laws and regulations related to AI to ensure that the organization remains compliant in its AI practices.
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