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Questions and Answers
What is the primary goal of Artificial Intelligence?
What is Machine Learning?
What is the difference between Narrow or Weak AI and General or Strong AI?
What is the term for the concept that machines can be biased or discriminatory?
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What is Natural Language Processing (NLP) primarily used for?
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Which of the following best represents a real-life example of Artificial Intelligence in action?
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What is the primary reason why AI systems can be flawed or inaccurate?
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Which of the following industries is most likely to benefit from the use of Natural Language Processing (NLP)?
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What is the primary advantage of using Machine Learning over traditional programming?
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Which of the following best represents a Narrow or Weak AI system?
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Study Notes
Artificial Intelligence and its Goals
- The primary goal of Artificial Intelligence (AI) is to create machines that can perform tasks that typically require human intelligence, such as problem-solving, decision-making, and learning.
Machine Learning
- Machine Learning is a subset of AI that enables machines to learn from data and improve their performance on a task without being explicitly programmed.
Types of AI
- Narrow or Weak AI: designed to perform a specific task, such as facial recognition, language translation, or playing chess.
- General or Strong AI: capable of performing any intellectual task that a human can, with abilities that are on par with human intelligence.
Bias in AI Systems
- Algorithmic bias: the concept that machines can be biased or discriminatory due to flawed or incomplete data, leading to unfair outcomes.
Natural Language Processing (NLP)
- NLP is primarily used for tasks such as language translation, sentiment analysis, and text summarization, enabling machines to understand and generate human language.
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Description
Test your understanding of the fundamental concepts of Artificial Intelligence, including its primary goal, machine learning, types of AI, and natural language processing. Perfect for beginners!