Understanding Artificial Intelligence and AGI

Understanding Artificial Intelligence and AGI

Assessment

Interactive Video

Computers, Science, Education

10th - 12th Grade

Easy

Created by

Mia Campbell

Used 1+ times

FREE Resource

Shane Legg discusses his early interest in AI, overcoming educational challenges, and coining the term 'Artificial General Intelligence' (AGI). He talks about founding DeepMind, its goals, and the transformative potential of AGI. Legg highlights key AI developments, including AlphaGo and language models, and addresses the potential risks and benefits of AGI, emphasizing the need for understanding and regulation.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What sparked Shane Legg's initial interest in artificial intelligence?

A school project on AI

A science fiction book he read

His first home computer and programming

His fascination with mathematics

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What challenge did Shane Legg face in his early education?

He was uninterested in science

He struggled with mathematics

He was dyslexic

He had a hearing impairment

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Who approached Shane Legg about writing a book on AI systems?

Mustafa Suleyman

Demis Hassabis

Ben Goertzel

Ray Kurzweil

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was Shane Legg's prediction about AGI in 2009?

AGI would be achieved by 2050

AGI would be achieved by 2020

AGI would be achieved by 2028

AGI would never be achieved

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the primary goal of DeepMind when it was founded?

To build the world's first AGI

To develop narrow AI systems

To create AI for gaming

To focus on AI ethics

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which AI development was a significant milestone for DeepMind?

The launch of Google Assistant

The invention of the internet

The development of AlphaGo

The creation of ChatGPT

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What unexpected advancement did Shane Legg note about AI models?

Their performance with only text data

Their inability to scale

Their ability to understand emotions

Their reliance on multimodal data

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