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Prioritize ethical AI development by ensuring fairness, transparency, and accountability in algorithms. Avoid biases in data.

AI can be categorized into two main types Narrow or Weak AI,

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Prioritize ethical AI development by ensuring fairness, transparency, and accountability in algorithms. Avoid biases in data.

AI can be categorized into two main types Narrow or Weak AI,

AI can be categorized into two main types Narrow or Weak AI,

AI can be categorized into two main types Narrow or Weak AI,

Prioritize ethical AI development by ensuring fairness, transparency, and accountability in algorithms. Avoid biases in data.

AI refers to the development of computer systems that can perform tasks that typically require human intelligence.

Machine learning is a subset of AI that focuses on creating algorithms that can learn from data.

Deep learning is a subfield of machine learning that uses neural networks with multiple layers to model.

Most AI systems today are Narrow AI, which means they are designed for specific tasks, such as virtual assistants.

AI refers to the development of computer systems that can perform tasks that typically require human intelligence.

Machine learning is a subset of AI that focuses on creating algorithms that can learn from data.

Deep learning is a subfield of machine learning that uses neural networks with multiple layers to model.

Most AI systems today are Narrow AI, which means they are designed for specific tasks, such as virtual assistants.