Module 2
30 Min
Introduction to AI
Agenda
- What is AI? Philosophical & Computational Views
- Narrow vs General AI; Reactive, Limited Memory, Theory of Mind
- Turing test & Human-machine intelligence debates
- AI Timeline & Key milestones
- AI agents
- AI, ML and DL
- Deep learning
- Ethics, limits and future frontiers
Nikhil Vadgama
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Key takeaways:
- AI combines technical systems with questions of intelligence and consciousness
- Most AI today is Narrow, excelling at specific tasks, but not general reasoning
- AI draws on neuroscience, math, physics, computer science, philosophy, linguistics and psychology
- Capabilities range from Reactive and Limited Memory to hypothetical Theory of Mind and Self-Aware AI
- AI balances 'Can machines think?' with 'How well can they perform tasks?'
- Turing Test assesses intelligence by behaviour, not understanding
- Passing the test doesn’t guarantee real comprehension
- AI agents perceive, decide, and act via a perception–action cycle
- ML learns from data; DL uses deep neural networks for complex patterns
- AI is powerful but narrow, lacking general reasoning or consciousness
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