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In this section, you learned about the UI act and its categorization of AI systems based on risk levels,

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including unacceptable, high risk and limited risk categories.

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You explored the stringent requirements placed on high risk AI systems and foundation models such as

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transparency, accountability, and compliance obligations to ensure safety and ethical use.

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The regulatory framework includes notification and enforcement mechanisms designed to oversee and maintain

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compliance.

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You also delved into Canada's Artificial Intelligence and Data Act, which emphasizes responsible AI

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practices and introduces standards for AI governance, addressing privacy and data protection.

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Key components of US AI related state laws were examined, highlighting the diverse regulatory landscape

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and the emphasis on transparency, accountability, and individual rights.

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China's draft regulations on generative AI were discussed, focusing on the country's approach to managing

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AI development while ensuring national security and social stability.

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The section concluded with an exploration of harmonizing global AI laws and the importance of developing

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risk management frameworks that align with international standards.

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Throughout these lessons, you acquired knowledge on how different jurisdictions approach AI regulation,

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the significance of establishing robust legal frameworks, and the critical need for international cooperation.

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The material covered underscores the importance of balancing innovation with ethical considerations

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and regulatory compliance, equipping you with a comprehensive understanding of the global AI regulatory

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landscape and its practical implications.