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Currently, there are three main groups internationally focused on AI legislation: Germany (conservative), Europe excluding Germany (radical), and the United States (pragmatic).

Germany's legislative approach believes AI is in its infancy, with many unknowns, so premature legislation might hinder industry development.

European countries outside Germany are generally more radical, advocating for early establishment of industry norms to prevent AI-related risks.

The United States has enacted laws like the "Future of AI Act," focusing on encouraging development with fewer restrictions.

In my opinion, current AI legislation should consider the following aspects:

1. Promoting AI industry development and establishing industry norms;

2. Privacy protection (ubiquitous data capture poses threats to data privacy), addressing privacy issues from machine self-learning;

3. Preventing commercial fraud and deception (e.g., robot shows on TV suspected of being controlled backstage, not autonomous robots);

4. Preventing the misuse of technology (e.g., the abuse of robot telemarketers);

5. Weighing the opportunities and risks of machines making decisions for humans;

6. Exploring whether to grant robots personhood from a legal perspective;

7. Determining liability for damages caused by robots;

8. Addressing ethical issues from the integration of humans and intelligent machines (e.g., ethical concerns from using AI to enhance abilities of individuals with intellectual disabilities);

9. The issue of AI taking over human jobs;

10. Intellectual property issues related to AI creations.

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