AI Ethics and Legalities Quiz

AI Ethics and Legalities Quiz

11th Grade

10 Qs

quiz-placeholder

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AI Ethics and Legalities Quiz

AI Ethics and Legalities Quiz

Assessment

Quiz

Computers

11th Grade

Easy

Created by

Dave Gwilt

Used 35+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is algorithmic bias in AI?

The process of optimizing algorithms for better performance

A situation where an algorithm produces results that are systematically prejudiced due to erroneous assumptions in the machine learning process

The use of algorithms to make decisions without human intervention

A legal framework designed to govern the use of algorithms

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a potential source of algorithmic bias?

Using a diverse dataset for training

Regularly updating the AI software

Relying on data that reflects historical inequalities

Implementing strict privacy protections

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Who can be held legally liable when a robot causes harm?

The robot itself

The manufacturer of the robot

The owner of the robot

Both B and C

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key ethical consideration in machine learning?

Maximizing the algorithm's speed

Ensuring the algorithm is profitable

Preventing the algorithm from making errors

Ensuring fairness and avoiding bias in the algorithm's decisions

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a primary safety concern with the use of AI?

AI systems becoming too expensive to maintain

AI systems making decisions that could harm humans

AI systems requiring too much electricity

AI systems becoming self-aware

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can algorithmic bias be mitigated?

By using larger datasets

By ensuring diversity in the training data

By increasing the processing power of the computer

By reducing the complexity of the algorithm

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What role does transparency play in ethical AI?

It ensures AI systems are profitable

It allows users to understand how AI decisions are made

It makes AI systems faster

It reduces the cost of AI development

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