Knowing when NOT to use AI in AI for Everyone - Mini Project: Build & Apply

Knowing When NOT to Use AI

📖 Scenario: You are part of a team deciding when to use AI tools for tasks in your workplace. Not every task is suitable for AI. Understanding when NOT to use AI helps avoid mistakes and ensures better results.

🎯 Goal: Build a simple checklist that identifies tasks where AI should NOT be used. This checklist will help you and your team decide quickly and clearly.

📋 What You'll Learn

Create a dictionary called tasks with these exact entries: 'Medical diagnosis': 'High risk', 'Creative writing': 'Subjective', 'Sensitive personal advice': 'Privacy concern', 'Simple math calculations': 'Low complexity', 'Data entry': 'Repetitive'

Create a variable called avoid_reasons that lists the reasons to avoid AI use: 'High risk', 'Privacy concern', 'Subjective'

Use a dictionary comprehension called tasks_to_avoid that includes only tasks from tasks whose reason is in avoid_reasons

Add a final line that sets a variable final_checklist equal to tasks_to_avoid to complete the checklist

💡 Why This Matters

🌍 Real World

This project helps teams decide when AI is not suitable, avoiding risks like privacy issues or incorrect decisions.

💼 Career

Understanding when NOT to use AI is important for roles in management, ethics, healthcare, and any job involving AI decision-making.

1

Create the tasks dictionary

Create a dictionary called tasks with these exact entries: 'Medical diagnosis': 'High risk', 'Creative writing': 'Subjective', 'Sensitive personal advice': 'Privacy concern', 'Simple math calculations': 'Low complexity', 'Data entry': 'Repetitive'

AI for Everyone

# Create the tasks dictionary with exact entries
# Your code here

Hint

Use curly braces {} to create the dictionary with the exact keys and values.

2

Create the avoid reasons list

Create a variable called avoid_reasons that is a list containing these exact strings: 'High risk', 'Privacy concern', 'Subjective'

AI for Everyone

tasks = {
    'Medical diagnosis': 'High risk',
    'Creative writing': 'Subjective',
    'Sensitive personal advice': 'Privacy concern',
    'Simple math calculations': 'Low complexity',
    'Data entry': 'Repetitive'
}

# Create the avoid_reasons list with exact strings
# Your code here

Hint

Use square brackets [] to create a list with the exact strings in the given order.

3

Filter tasks to avoid using AI

Use a dictionary comprehension called tasks_to_avoid that includes only the tasks from tasks whose reason is in the list avoid_reasons

AI for Everyone

tasks = {
    'Medical diagnosis': 'High risk',
    'Creative writing': 'Subjective',
    'Sensitive personal advice': 'Privacy concern',
    'Simple math calculations': 'Low complexity',
    'Data entry': 'Repetitive'
}

avoid_reasons = ['High risk', 'Privacy concern', 'Subjective']

# Create tasks_to_avoid dictionary comprehension
# Your code here

Hint

Use a dictionary comprehension with for task, reason in tasks.items() and an if condition checking reason in avoid_reasons.

4

Complete the checklist

Add a final line that sets a variable called final_checklist equal to the dictionary tasks_to_avoid to complete the checklist

AI for Everyone

tasks = {
    'Medical diagnosis': 'High risk',
    'Creative writing': 'Subjective',
    'Sensitive personal advice': 'Privacy concern',
    'Simple math calculations': 'Low complexity',
    'Data entry': 'Repetitive'
}

avoid_reasons = ['High risk', 'Privacy concern', 'Subjective']

tasks_to_avoid = {task: reason for task, reason in tasks.items() if reason in avoid_reasons}

# Set final_checklist equal to tasks_to_avoid
# Your code here

Hint

Simply assign final_checklist = tasks_to_avoid to complete the checklist.

Practice

1. Which situation is NOT a good reason to use AI?

easy

A. When automating repetitive and simple tasks

B. When you need to analyze large amounts of data quickly

C. When the task requires deep human empathy and understanding

D. When you want to speed up decision-making with clear rules

Solution

1. Step 1: Understand AI strengths

   AI excels at processing large data and automating repetitive tasks quickly.

2. Step 2: Identify human-only tasks

   Tasks needing deep empathy and understanding are better handled by humans.

3. Final Answer:

   When the task requires deep human empathy and understanding -> Option C

4. Quick Check:

   Human empathy ≠ AI strength [OK]

Hint: Choose human skills for empathy, not AI [OK]

Common Mistakes:

• Thinking AI can replace human emotions
• Assuming AI is best for all tasks
• Ignoring privacy concerns

2. Which of the following is the correct reason NOT to use AI?

easy

A. To protect sensitive personal data from being exposed

B. To speed up calculations on large datasets

C. To automate routine email sorting

D. To generate quick summaries of documents

Solution

1. Step 1: Identify privacy concerns

   Using AI on sensitive data risks exposure or misuse of private information.

2. Step 2: Compare with other options

   Other options describe good uses of AI, not reasons to avoid it.

3. Final Answer:

   To protect sensitive personal data from being exposed -> Option A

4. Quick Check:

   Privacy risk = avoid AI [OK]

Hint: Avoid AI when privacy is at risk [OK]

Common Mistakes:

• Confusing AI benefits with privacy risks
• Choosing options that describe good AI uses
• Ignoring data sensitivity

3. Consider this scenario: You have a confidential medical record that needs review. Which action is safest?

medium

A. Use AI to analyze the record for diagnosis suggestions

B. Have a trained doctor review the record manually

C. Upload the record to a public AI service for quick results

D. Share the record with multiple AI tools to compare outputs

Solution

1. Step 1: Assess privacy and accuracy needs

   Medical records are sensitive and require expert human review for accuracy and confidentiality.

2. Step 2: Evaluate options for safety

   Using AI publicly risks data leaks; human experts protect privacy and provide reliable judgment.

3. Final Answer:

   Have a trained doctor review the record manually -> Option B

4. Quick Check:

   Privacy + expertise = human review [OK]

Hint: Choose human experts for sensitive medical data [OK]

Common Mistakes:

• Assuming AI is always faster and safer
• Ignoring data confidentiality
• Trusting public AI services with private info

4. You wrote a program that sends sensitive user data to an AI service without encryption. What is the main problem?

medium

A. The AI service will refuse to process unencrypted data

B. AI cannot analyze unencrypted data correctly

C. The program will run slower because of missing encryption

D. User data privacy is at risk due to insecure transmission

Solution

1. Step 1: Understand data transmission risks

   Sending sensitive data without encryption exposes it to interception and misuse.

2. Step 2: Analyze options

   AI services usually accept data; speed and analysis correctness are not affected by encryption presence.

3. Final Answer:

   User data privacy is at risk due to insecure transmission -> Option D

4. Quick Check:

   Unencrypted data = privacy risk [OK]

Hint: Encrypt sensitive data before sending to AI [OK]

Common Mistakes:

• Thinking AI rejects unencrypted data
• Confusing speed with security
• Assuming AI needs encrypted data to work

5. You want to automate customer support but some questions need personal judgment and empathy. What is the best approach?

hard

A. Use AI for simple questions and humans for empathetic ones

B. Avoid AI completely to keep all responses personal

C. Use AI for all questions to save time

D. Train AI to fully replace human empathy

Solution

1. Step 1: Identify task types

   Simple, repetitive questions can be handled by AI; empathetic questions need humans.

2. Step 2: Combine AI and human strengths

   Using AI for routine tasks and humans for empathy balances efficiency and care.

3. Final Answer:

   Use AI for simple questions and humans for empathetic ones -> Option A

4. Quick Check:

   Mix AI + human empathy = best approach [OK]

Hint: Split tasks: AI for simple, humans for empathy [OK]

Common Mistakes:

• Relying solely on AI for empathy
• Ignoring efficiency gains from AI
• Avoiding AI even for simple tasks