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Address
33-17, Q Sentral.
2A, Jalan Stesen Sentral 2, Kuala Lumpur Sentral,
50470 Federal Territory of Kuala Lumpur
Contact
+603-2701-3606
[email protected]
Most people in charge in the U.S., like politicians and experts, agree that artificial intelligence (AI) can be risky if we don’t manage it properly. However, they haven’t yet figured out a clear plan to deal with these risks. At a recent event by TIME100 Talks, experts expressed hope that the U.S. will handle AI development well, balancing progress with safety.
Shalanda Young, who helps manage the country’s budget, stressed that the government needs to get AI regulation right. In the past, the government has been slow to respond to new tech, and repeating this mistake with AI could have serious consequences, especially for civil rights and national security.
AI systems can accidentally become biased by using flawed data, leading to unfair decisions. This is especially harmful for vulnerable groups. Van Jones, a CNN host and advocate, emphasized the need for fairness and openness in AI to prevent these biases.
Shalanda Young also mentioned that politicians from different parties are starting to work together more on tech issues, thanks to initiatives like the CHIPS and Science Act signed by President Biden. This teamwork is crucial for developing strong AI policies, especially to keep up with countries like China in tech.
Michael Allen, a strategy expert, highlighted the importance of keeping human oversight in AI, especially when it comes to national security. This helps ensure that AI is used safely and responsibly.
The U.S. is in a tech race with China, and staying ahead in AI is critical, much like during the Nuclear Age. This competition isn’t just about national pride—it’s essential for security and global leadership in technology.
Although Congress hasn’t passed many AI-specific laws yet, President Biden has started some initiatives to set rules for how AI should be developed and used ethically.
This guide explores the key roles of the U.S. government in AI management, how bipartisan efforts are shaping AI policy, and the need for ethical AI practices amidst global competition.
To keep AI development ethical, the U.S. needs strong rules that focus on openness, responsibility, and involving the public in decisions. This includes keeping an eye on how AI affects society and being ready to update policies as new issues and technologies arise.
To reduce biases in AI, it’s important to use diverse data and teams, apply strict tests to find biases, and keep AI decisions transparent. Both government and businesses need to work together to set standards that prevent unfairness in AI uses.
U.S. AI policies are crucial in setting the global standard for how AI should be developed and used responsibly. By leading the way in ethical AI, the U.S. can guide global practices and help prevent a reckless scramble for AI advancements, promoting worldwide cooperation in tech management.
Sources TIME