#Exercises — Session 7 🟢
# “AI in real life”

**Program:** Applied AI — Beginner Level · Instructor: Yann Isola
**Material:** paper + markers. Internet access useful for exercise 1 (“screenless” version provided).

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## Exercise 1 — The sector survey 🔎
**Duration: 20 min · In small groups (2-3) · Feedback: 1 min per group**

### The idea
You become **specialized journalists**. Each group receives (or chooses) a sector and conducts the investigation: how is AI used there TODAY, concretely? No science fiction – only reality.

### The sectors to be distributed
🏥 Health · 🚗 Transport · 🎓 Education · 🌾 Agriculture · 🎬 Entertainment · 🔬 Science · 💰 Finance · 🌍 Environment

### Unrolled

**Step 1 (12 min) — The survey.** Complete the survey sheet below. With the internet: look for real examples (cross at least 2 sources — reflex from session 6!). Without internet: use the interactive map on the session web page + your memories of the course.

**Step 2 (3 min) — The synthesis.** Choose The most surprising example from your investigation: the one you would tell your family this evening.

**Step 3 (1 min per group) — The news flash.** Each group presents its sector in 1 minute flat, TV news style: *“In the health sector, AI now knows…”*

### Survey form (to be completed)

| Question | Your answer |
|---|---|
| Our sector: | |
| 3 real uses of AI in this sector: | 1. / 2. / 3. |
| The most surprising example: | |
| Who is AI **helping** in this industry? (job, person) | |
| What does the AI ​​do, and what does the human keep? | AI: / Human: |
| A limit or a risk in this sector: | |

### What to remember
In each sector, the same pattern recurs: **the AI deals with the massive and the repetitive, the human keeps the judgment and the relationship**. If your investigation doesn't reveal this duo, dig some more!

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## Exercise 2 — “Invent your AI”: the pitch workshop 🚀
**Duration: 25 min (10 min preparation + 2 min pitches) · Alone or in pairs**

### The idea
The inventors of the applications we saw today all started the same: a **real problem** + an idea. Your turn. You will design a useful AI application and present it in **2 minutes flat** — like a start-up creator in front of investors.

### Golden rule
Your AI should **assist** a human, not replace them. A pitch where AI does everything and humans disappear will be gently but firmly challenged. 😉

### Unrolled

**Step 1 (2 min) — Choose a playing field.** One of the 8 sectors of the course, or another: sport, cooking, music, games, animals, justice, fashion, travel…

**Step 2 (8 min) — Complete the pitch canvas.**```
┌─────────────────────────────────────────────────┐
│           CANEVAS DE PITCH — MON IA             │
├─────────────────────────────────────────────────┤
│ 1. LE PROBLÈME                                  │
│    Quel problème réel et concret ?              │
│    Qui en souffre aujourd'hui ?                 │
│                                                 │
│ 2. MA SOLUTION IA                               │
│    Que fait mon application, en une phrase ?    │
│                                                 │
│ 3. LES DONNÉES                                  │
│    De quoi mon IA a-t-elle besoin pour          │
│    apprendre ? (images ? sons ? historiques ?)  │
│    Où les trouver ? Y a-t-il un souci de vie    │
│    privée ?                                     │
│                                                 │
│ 4. CE QUE L'HUMAIN GARDE                        │
│    Quelle décision reste humaine ?              │
│    Qui vérifie l'IA ?                           │
│                                                 │
│ 5. LE NOM + LE SLOGAN                           │
│    Un nom qui claque + une phrase choc          │
└─────────────────────────────────────────────────┘
```**Step 3 (2 min per pitch) — Present.** Recommended structure: 20 s of problem → 40 s of solution → 30 s of data → 20 s on the role of humans → 10 s of name + slogan. The instructor keeps a timer. At 2 minutes sharp: applause, even in full sentence!

**Step 4 — The vote.** The audience votes for their favorite pitch (not the most technical — the most **useful and clearest**).

### Examples to unlock inspiration breakdowns
- 🐕 “WoofCare”: the app that analyzes your dog’s gait on video and alerts if lameness appears. (The veterinarian diagnoses.)
- ⚽ “CoachEye”: the AI that analyzes training videos and suggests personalized exercises. (The coach decides the program.)
- 🍎 “FrigoZéro”: photo of the inside of the fridge → anti-waste recipes with what will soon expire. (You cook… or not!)

### Self-assessment grid before pitching
- [ ] My problem is real and I can tell WHO is suffering from it
- [ ] My solution is contained in a sentence understandable by my grandmother
- [ ] I know what data my AI must learn
- [ ] I thought about the privacy of this data
- [ ] A human keeps a real decision in my system
- [ ] My pitch lasts in 2 minutes (I rehearsed it once!)

---

## Exercise 3 — “Is it AI or not? »: real cases 🕵
**Duration: 15 min · In whole group or small groups · Commented correction together**

### The idea
AI is everywhere…but not EVERYTHING is AI! For each real-world situation below, decide: **AI** (the system learns from data) or **NO AI** (fixed rule, classic program, or just a human). Then justify in one sentence.

### The 10 cases

| # | Location | AI or not? | For what ? |
|---|---|---|---|
| 1 | Netflix offers you a series “because you watched…” | | |
| 2 | Your calculator shows 7 × 8 = 56 | | |
| 3 | Your bank blocks your card after a bizarre payment at 3 a.m. in a distant country | | |
| 4 | The pedestrian crossing turns green every 90 seconds, right on time | | |
| 5 | An app identifies a plant's disease from a photo of a leaf | | |
| 6 | The oven stops when the timer reaches zero | | |
| 7 | Subtitles automatically appear on a YouTube video | | |
| 8 | A distributor makes exact change | | |
| 9 | Waze announces “traffic jam in 2 km” and suggests a detour | | |
| 10 | Your phone unlocks by recognizing your face | | |

### Corrected (for the instructor — comment out loud)

1. **AI** — recommendation learned from millions of viewing histories.
2. **No AI** — fixed calculation rule, no learning. The result is always the same.
3. **AI** — fraud detection: the system has learned YOUR habits and spots the anomaly.
4. **No AI** — fixed timer. (Bonus nuance: some modern “adaptive” lights use AI — the question to ask is: *does the system adapt as it learns?*)
5. **AI** — computer vision trained on thousands of photos of diseased leaves.
6. **No AI** — simple countdown.
7. **AI** — speech recognition (speech → text), learned on huge audio corpora.
8. **No AI** — calculation and mechanics. Returning €3.40 requires no learning.
9. **AI** — traffic prediction based on data sent in real time from millions of phones.
10. **AI** — facial recognition: the phone has learned YOUR facial features.### The magic question to remember
To decide, always ask yourself: ***“Did this system LEARN from data, or is it applying a rule written once and for all? »***
Learning → AI. Fixed rule → classic program. This is THE border (rewatch session 2 if necessary!).

### To go further (at home)
For 24 hours, note **3 moments** when you come across AI in your day without having thought about it before this course. Bring your list to the next session — the most unexpected finds earn the group's undying respect. 🏆