Ethics and bias in AI in Intro to Computing - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to print a message about AI fairness.

Intro to Computing

print("AI systems should be [1] to all users.")

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

Abiased

Bcomplex

Cfair

Dslow

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing 'biased' because it sounds technical.

Choosing 'complex' thinking AI should be complicated.

The correct word is fair because AI systems must treat all users equally without bias.

2fill in blank

medium

Complete the code to check if AI data is free from {{BLANK_1}}.

Intro to Computing

if data_contains_bias([1]):
    print("Warning: Data has bias!")

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

Adataset

Balgorithm

Cmodel

Duser

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'algorithm' which is the AI logic, not the data.

Using 'model' which is built from data.

The function checks if the dataset contains bias, which can affect AI fairness.

3fill in blank

hard

Fix the error in the code to avoid bias in AI decisions.

Intro to Computing

def make_decision(input_data):
    if input_data['age'] [1] 18:
        return "Reject"
    else:
        return "Accept"

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

A!=

B>=

C==

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using '>=' which rejects 18 and older.

Using '==' which only checks exact age.

Using < 18 means rejecting those under 18, which is a clear bias based on age.

4fill in blank

hard

Fill both blanks to create a function that checks for bias and returns a fair result.

Intro to Computing

def check_fairness(data):
    bias_found = data.get('[1]', False)
    if bias_found [2] True:
        return "Bias detected"
    return "Fair"

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

Abias

B==

C!=

Derror

Attempts:

3 left

💡 Hint

Common Mistakes

Using '!=' which checks for bias not being true.

Using 'error' which is not a valid operator.

The key to check is 'bias' in data, and the condition should test if bias is equal to True.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that filters biased entries.

Intro to Computing

filtered_data = [1]: [2] for [1] in data if data[[1]] [3] False

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

Akey

Bdata[key]

C!=

D==

Attempts:

3 left

💡 Hint

Common Mistakes

Using '==' which would include biased entries.

Using different variable names causing errors.

The comprehension uses key for iteration, data[key] for values, and filters where bias is not equal to False.