Week 2 - Ethics & AI

Week 2 - Ethics & AI

University

6 Qs

quiz-placeholder

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Week 2 - Ethics & AI

Week 2 - Ethics & AI

Assessment

Quiz

Social Studies

University

Medium

Created by

Sara Parra

Used 2+ times

FREE Resource

6 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

What do we call intelligence?

The capacity to memorize facts and figures.
The skill to solve puzzles quickly.
The talent for artistic expression.
The ability to learn and apply knowledge and skills.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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Why do we refer to AI?

We refer to AI to describe natural phenomena.
We refer to AI to explain historical events.
We refer to AI to describe systems that simulate human intelligence.
We refer to AI to discuss economic theories.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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  • What is the relationship between intelligence and ethical reflection?

Intelligence has no impact on ethical reflection.
Higher intelligence facilitates deeper ethical reflection.
Ethical reflection is solely based on emotional intelligence.
Higher intelligence leads to less ethical reflection.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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  • What does the 'singularity' problem refer to when discussing artificial intelligence?

The point at which AI surpasses human intelligence, leading to rapid technological growth.
A type of AI that mimics human emotions.
The ethical implications of AI in society.
A method for training AI using human-like reasoning.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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  • Can algorithms replicate human ethical reasoning?

Yes, algorithms can replicate human ethical reasoning perfectly.
Algorithms can replicate some aspects of human ethical reasoning.
No, algorithms cannot fully replicate human ethical reasoning.
Algorithms can make ethical decisions better than humans.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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  • What ethical implications does the application of autonomous AI systems have?

Enhanced user experience and satisfaction
Reduction in operational costs
Increased efficiency in decision-making

Accountability, bias, employment impact, privacy concerns, and transparency.

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