Youtube Exercise » English Grammar Homework

B2-C1

What You Know That AI Doesn’t | Priyanka Vergadia | TED

TED

31K views 2 months ago

Warm-up Questions

What kinds of knowledge do you think humans have that AI doesn’t?
What jobs do you think AI will change the most in the next 5–10 years?
When you hear the title, do you expect the talk to be optimistic or worrying? Why?

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What You Know That AI Doesn’t | Priyanka Vergadia | TED

Patterns vs. human meaning (00:00 – 02:12)

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1. What does the speaker say AI is excelling at?

Replacing human emotions in decision-making
Explaining why people behave in certain ways
Identifying patterns in data
Understanding cultural nuance automatically

2. Which ability does the speaker say humans have that AI cannot quantify?

Faster processing speed
The ability to generate reports
Perfect memory of all information
Context, intent, and unspoken emotions

3. What is the speaker’s main advice for the future of work with AI?

Work with AI while staying irreplaceably human
Let AI make the final decisions
Try to compete directly with AI
Avoid using AI at work

What You Know That AI Doesn’t | Priyanka Vergadia | TED

Story 1 & 2: Ask why, and read the room (02:12 – 06:20)

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1. Why weren’t top users using the advanced features, according to the phone calls?

The advanced features were too expensive
They disliked the advanced features
They didn’t know the product existed
The features were buried in menus and the documentation wasn’t clear

2. What happened after the team rebuilt the experience to make advanced features easier to find?

Advanced feature adoption skyrocketed
The company removed analytics
Users stopped using the product
The basic features disappeared

3. In the sales story, what human sign suggested the deal might not actually be secure?

Different stakeholders kept showing up and emails became vague and corporate
The dashboard showed positive sentiment
The AI tool stopped working
The customer asked for a discount immediately

What You Know That AI Doesn’t | Priyanka Vergadia | TED

Story 3 & conclusion: Optimize for the right goal (06:20 – 09:20)

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1. What was the main problem with the AI-recommended fashion hack videos?

They caused the brand’s prices to drop
They decreased engagement and lost followers
They attracted the wrong audience and didn’t lead to sales or revenue
They were too expensive to produce

2. Which audience did the team realize they were attracting?

Luxury shoppers who value sustainability
Bargain hunters
Only existing customers
People interested in craftsmanship and artisans

3. What does the speaker say to remember when you feel anxious about AI taking your job?

Only technical skills matter now
Humans should stop using data
AI will always make better decisions than people
AI can identify patterns, but humans can identify the human behind it

What You Know That AI Doesn’t | Priyanka Vergadia | TED

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1. Across the three stories, what is the speaker’s main point about AI vs. humans?

AI understands experiences better than people do
AI can find patterns, but humans interpret meaning and causes
Humans should trust dashboards more than conversations
AI should replace human judgment in meetings

2. Which statement best matches the speaker’s idea of being “irreplaceably human” at work?

Focus only on speed and efficiency
Let AI decide what goals are important
Use empathy, context, and emotional understanding alongside AI
Avoid working with AI tools

3. What is the repeated strategy the speaker recommends when AI gives a recommendation?

Pause and ask what story is behind the data
Ignore the data completely
Immediately follow it
Ask AI to rewrite the recommendation in simpler words

Discussion Questions

Discuss the ideas from this video

What You Know That AI Doesn’t | Priyanka Vergadia | TED

Describe a time when data (numbers, a report, or a dashboard) showed one thing, but the real situation was different. What was missing?
Which human skill from the talk—context, intent, unspoken emotions, cultural nuances, empathy—do you think is most important in your field? Why?
Do you agree that we should “question the question” when AI makes a recommendation? What is one good “why” question to ask?
In the third story, AI optimized for engagement, but the team optimized for sales and community. What should your work (or studies) optimize for, and how would you measure it?