What is AI?

Artificial Intelligence (AI) is the ability of machines or computer systems to perform tasks that normally require human intelligence. This includes things like learning from experience, understanding language, recognizing images, making decisions, and solving problems.

AI is powered by data and algorithms. For example, when you give AI a lot of pictures of cats, it can learn to identify new pictures of cats on its own.

---

How is AI changing our daily lives?

AI is already part of your everyday routine, often without you realizing it. Some common examples:

1. Smartphones & Assistants

   • Voice assistants like Siri, Alexa, or Google Assistant use AI to understand and respond to your questions.

   • Predictive text and autocorrect when you type messages.

2. Social Media & Entertainment

   • AI decides what posts, reels, or videos you see on platforms like Instagram, TikTok, or YouTube based on your interests.

   • Netflix and Spotify recommend shows or music tailored to your taste.

3. Shopping & Online Services

   • Amazon, Flipkart, and other platforms use AI to suggest products you might like.

   • Chatbots help answer customer service queries instantly.

4. Healthcare

   • AI helps doctors detect diseases faster through medical imaging (like X-rays or scans).

   • Personalized health apps track your fitness, sleep, or even detect irregular heartbeats.

5. Transportation

   • Google Maps or Uber uses AI to predict traffic, suggest the fastest routes, and match riders with drivers.

   • Self-driving cars are being tested using AI.

6. Work & Productivity

   • Tools like ChatGPT, Grammarly, or translation apps help with writing, learning, and communication.

   • AI can automate repetitive tasks, freeing up time for more creative work.

7. Finance

   • AI detects fraud in banking transactions.

   • Helps with stock market predictions and personal finance apps.

---

The Bigger Picture

AI is making our lives:

• Easier (automation of boring/repetitive tasks),

• Faster (instant answers, smart recommendations),

• More personalized (tailored experiences).

But it also raises questions about privacy, job changes, and ethics, which society is still figuring out.

I. Based on Capability

1. Narrow AI (Weak AI)

   • Definition: AI designed for a specific task. It cannot do anything outside its trained purpose.

   • Examples:

     • Siri, Alexa, Google Assistant (voice commands)

     • Netflix recommendations

     • Face unlock on phones

   👉 This is the AI we use most today.

---

2. General AI (Strong AI)

   • Definition: AI that can perform any intellectual task like a human—reasoning, problem-solving, learning, creativity.

   • Examples:

     • Still a concept (not fully developed yet).

     • If built, it could think, adapt, and apply knowledge across fields like humans.

---

3. Super AI (Artificial Superintelligence)

   • Definition: A stage where AI surpasses human intelligence in every field—creativity, emotions, decision-making.

   • Examples:

     • Exists only in theory/science fiction (e.g., movies like Her, Ex Machina).

     • Raises debates about control and ethics.

---

II. Based on Functionality

1. Reactive Machines

   • AI that only reacts to situations, no memory.

   • Example: IBM’s Deep Blue (chess-playing computer that beat Garry Kasparov).

2. Limited Memory

   • AI can use past data for decisions.

   • Example: Self-driving cars (learn from past driving data + surroundings).

3. Theory of Mind (Future AI)

   • AI that understands human emotions, thoughts, and intentions.

   • Example: Still in research—robots that can “understand feelings.”

4. Self-Aware AI (Future AI)

   • AI that has its own consciousness and awareness.

   • Example: Does not exist yet—only theoretical.

---

✅ Quick Recap:

• By capability: Narrow AI → General AI → Super AI.

• By functionality: Reactive → Limited Memory → Theory of Mind → Self-Aware.