The Future of AI:
Automation or
Intelligence?
Webinar
The Future of AI:
Automation or
Intelligence?
A webinar for future AI builders
AI is already everywhere
YouTube
Instagram
Google
Netflix
Maps
Recommends videos
based on your watch
history
Curates your feed and
suggests content
Predicts searches and
ranks results
Picks what shows up on
your home screen
Calculates fastest routes
in real-time
AI is not robots. AI is pattern recognition — software that learns from data to make
predictions.
Automation AI vs Intelligence AI
Rules-based · Deterministic · If-this-then-that
Learns from data · Makes predictions · Probabilistic
Follows pre-programmed instructions exactly. A human writes every
rule — the system simply executes.
Discovers patterns in data and improves over time. No one writes
every rule — the AI figures them out.
Examples
Examples
🧮 Calculator
🚦 Traffic lights
📞 Simple bots (e.g., phone trees)
💬 ChatGPT
📷 Image recognition
🎯 Recommendation systems
Traditional programming: human writes rules → computer follows them.
Intelligence AI: human provides data → AI discovers the rules.
✨
📝
Core concept
How AI Works
Three pillars that define modern artificial intelligence
🤖
01
02
Data → Training → Model →
Prediction → Feedback
Code that improves with experience.
Three core types:
The new coding skill is talking to
machines.
Supervised learning
Learns from labeled examples — you show it
the answers.
Prompts are the new programming language
— how you ask determines what you get.
🔄
A continuous cycle where each stage feeds
into the next, refining outputs over time.
⚠ Data quality is critical — garbage in,
garbage out. No model can overcome poor
input data.
03
🧠
Unsupervised learning
Finds hidden patterns — no labels needed.
Reinforcement learning
Learns by trial and error — rewarded for good
outcomes.
💬
Clear, specific instructions yield dramatically
better results than vague requests.
🤖 AI in the Real World: Opportunities & Risks
✅ OPPORTUNITIES
Self-driving cars
🚗
⚠️ RISKS
Bias 😟
Medical diagnosis
🩺
Misinformation
Climate prediction
🌍
Job shifts
Gaming
🎮
📰
💼
Deepfakes
🎭
🚀 The power of scale: When models get big enough, new abilities emerge unexpectedly!
More data + more compute + bigger models = emergent abilities no one explicitly programmed.
✨
The future is yours to build
AI won't replace programmers. Programmers who use AI will replace those who don't.
Question assumptions,
evaluate AI outputs,
and make informed
decisions
Imagine what doesn't
exist yet and use AI as a
tool to bring it to life
Understand how AI
works, its capabilities,
and its limitations
Navigate bias, fairness,
and responsibility in an
AI-powered world
Embrace change, learn
continuously, and
evolve with technology
The future of AI isn't about machines replacing humans.
It's about humans who understand AI shaping the future.
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