Module 2
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30 mins

Introduction to AI

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Professor

Prof. Nikhil Vadgama

The 'Introduction to AI’ course is taught by Prof. Nikhil Vadgama, Programme Director of the MSc Financial Technology at UCL and Director of Exponential Science, with extensive experience in fintech and collaborating with governments, industry, and central banks worldwide.

What you’ll learn

01
What is AI? Philosophical & Computational Views
02
Narrow vs General AI; Reactive, Limited Memory, Theory of Mind
03
Turing test & Human-machine intelligence debates
04
AI Timeline & Key milestones
05
AI agents
06
AI, ML and DL
07
Deep learning
08
Ethics, limits and future frontiers

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
Published:
12 Aug 2024
Created:
29 Aug 2025
Edited:
12 Aug 2024

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