In this section, you learned about the UI act and its categorization of AI systems based on risk levels,
including unacceptable, high risk and limited risk categories.
You explored the stringent requirements placed on high risk AI systems and foundation models such as
transparency, accountability, and compliance obligations to ensure safety and ethical use.
The regulatory framework includes notification and enforcement mechanisms designed to oversee and maintain
compliance.
You also delved into Canada's Artificial Intelligence and Data Act, which emphasizes responsible AI
practices and introduces standards for AI governance, addressing privacy and data protection.
Key components of US AI related state laws were examined, highlighting the diverse regulatory landscape
and the emphasis on transparency, accountability, and individual rights.
China's draft regulations on generative AI were discussed, focusing on the country's approach to managing
AI development while ensuring national security and social stability.
The section concluded with an exploration of harmonizing global AI laws and the importance of developing
risk management frameworks that align with international standards.
Throughout these lessons, you acquired knowledge on how different jurisdictions approach AI regulation,
the significance of establishing robust legal frameworks, and the critical need for international cooperation.
The material covered underscores the importance of balancing innovation with ethical considerations
and regulatory compliance, equipping you with a comprehensive understanding of the global AI regulatory
landscape and its practical implications.