2. Basics of AI – Let’s Get Started
Artificial Intelligence (AI) represents the simulation of human intelligence in machines, enabling them to learn, think, and solve problems. The chapter explores AI's various domains, types, applications in everyday life, and addresses common myths versus facts. It emphasizes the fundamental differences between human and artificial intelligence and underlines the significance of responsible AI use in a societal context.
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Sections
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What we have learnt
- AI enables machines to perform tasks that traditionally require human intelligence.
- AI is categorized into different types based on capability and functionality.
- Ethical considerations are crucial for the responsible use of AI technologies.
Key Concepts
- -- Artificial Intelligence (AI)
- The simulation of human intelligence in machines programmed to think, learn, and solve problems like humans.
- -- Machine Learning (ML)
- A domain of AI that focuses on the ability of machines to learn from past data and make predictions.
- -- Natural Language Processing (NLP)
- A subfield of AI that enables machines to understand and respond in human languages.
- -- Narrow AI
- AI systems that are specialized and can perform only one task.
- -- General AI
- Theoretical AI that can perform any intellectual task like a human.
Additional Learning Materials
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