What are the key differences between traditional and autonomous AI?
Traditional AI relies on predefined rules and algorithms, while autonomous AI can learn and adapt from data.
Can you give me examples of each type?
Sure! Traditional AI examples include expert systems and chatbots, while autonomous AI includes self-driving cars and recommendation systems.
Which one is more effective in real-world applications?
It depends on the application. Autonomous AI often performs better in dynamic environments, while traditional AI is effective for structured tasks.
Are there any risks associated with autonomous AI?
Yes, risks include ethical concerns, decision-making transparency, and potential job displacement.
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