AI governance frameworks in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define a basic AI governance principle.

Prompt Engineering / GenAI

ai_governance = {"principle": "[1]"}

Drag options to blanks, or click blank then click option'

Atransparency

Baccuracy

Cspeed

Dcomplexity

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'accuracy' which is important but not a governance principle here.

The key principle in AI governance is transparency, which means making AI decisions clear and understandable.

2fill in blank

medium

Complete the code to add a governance framework component that ensures fairness.

Prompt Engineering / GenAI

framework = {"fairness": [1]

Drag options to blanks, or click blank then click option'

A"fast processing"

B"user interface"

C"data storage"

D"bias detection"

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing unrelated components like 'fast processing'.

Fairness in AI governance involves bias detection to avoid unfair treatment.

3fill in blank

hard

Fix the error in the code to correctly represent an AI governance policy.

Prompt Engineering / GenAI

policy = {"accountability": [1]

Drag options to blanks, or click blank then click option'

A"True"

BTRUE

CTrue

Dtrue

Attempts:

3 left

💡 Hint

Common Mistakes

Using quoted "True" which is a string, not a boolean.

In Python dictionaries, boolean values should be capitalized without quotes. Here, True is correct as a boolean value.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that filters AI risks above a threshold.

Prompt Engineering / GenAI

risks_filtered = {risk: level for risk, level in risks.items() if level [1] [2]

Drag options to blanks, or click blank then click option'

A>

B5

C<

D10

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' which would filter lower risks.

The comprehension filters risks with levels greater than 5, so level > 5 is correct.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps AI principles to their descriptions if the description length is greater than 10.

Prompt Engineering / GenAI

principles_desc = [1]: [2] for [3], [2] in principles.items() if len([2]) > 10}

Drag options to blanks, or click blank then click option'

Aprinciple

Bdescription

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing variable names or using the same name for key and value.

The comprehension uses principle as key and description as value, iterating over principle, description pairs.