Identifying tasks where AI adds value in AI for Everyone - Mini Project: Build & Apply

Identifying Tasks Where AI Adds Value

📖 Scenario: You work in a small business that wants to use AI to improve daily work. You need to find which tasks AI can help with the most.

🎯 Goal: Build a list of common tasks and mark which ones AI can help with, so the business can focus on the best uses of AI.

📋 What You'll Learn

Create a list of tasks with exact names

Add a variable to hold AI helpfulness threshold

Use a loop to select tasks where AI adds value

Complete the list with AI helpful tasks only

💡 Why This Matters

🌍 Real World

Businesses often need to decide where to apply AI to save time and improve results. This project helps identify those tasks clearly.

💼 Career

Understanding how to evaluate tasks for AI suitability is useful for managers, analysts, and anyone involved in digital transformation.

1

Create a list of tasks

Create a list called tasks with these exact strings: 'Data entry', 'Customer support', 'Report generation', 'Creative writing', 'Scheduling meetings'.

AI for Everyone

# Create the list called tasks with the exact task names
# Your code here

Hint

Use square brackets [] to create a list and put each task name in quotes separated by commas.

2

Set AI helpfulness threshold

Create a variable called ai_helpful_threshold and set it to 3. This number means tasks rated 3 or higher are good for AI help.

AI for Everyone

tasks = ['Data entry', 'Customer support', 'Report generation', 'Creative writing', 'Scheduling meetings']
# Set ai_helpful_threshold to 3
# Your code here

Hint

Just assign the number 3 to the variable ai_helpful_threshold.

3

Assign AI helpfulness ratings

Create a dictionary called task_ratings with these exact key-value pairs: 'Data entry': 5, 'Customer support': 4, 'Report generation': 3, 'Creative writing': 2, 'Scheduling meetings': 1.

AI for Everyone

tasks = ['Data entry', 'Customer support', 'Report generation', 'Creative writing', 'Scheduling meetings']
ai_helpful_threshold = 3
# Create task_ratings dictionary with exact ratings
# Your code here

Hint

Use curly braces {} to create a dictionary with task names as keys and numbers as values.

4

Select tasks where AI adds value

Create a list called ai_helpful_tasks using a list comprehension that includes tasks from tasks where their rating in task_ratings is greater than or equal to ai_helpful_threshold.

AI for Everyone

tasks = ['Data entry', 'Customer support', 'Report generation', 'Creative writing', 'Scheduling meetings']
ai_helpful_threshold = 3
task_ratings = {'Data entry': 5, 'Customer support': 4, 'Report generation': 3, 'Creative writing': 2, 'Scheduling meetings': 1}
# Create ai_helpful_tasks list with tasks rated >= ai_helpful_threshold
# Your code here

Hint

Use a list comprehension with for task in tasks and an if condition comparing task_ratings[task] to ai_helpful_threshold.

Practice

1. Which of the following tasks is AI best suited to improve?

easy

A. Making creative art without any human input

B. Sorting large amounts of data quickly

C. Deciding personal life choices

D. Feeling emotions like a human

Solution

1. Step 1: Understand AI strengths

   AI excels at repetitive, data-heavy tasks like sorting or analyzing large datasets quickly.

2. Step 2: Evaluate options

   Making creative art, deciding personal life choices, or feeling emotions require human-like qualities that AI cannot fully replicate.

3. Final Answer:

   Sorting large amounts of data quickly -> Option B

4. Quick Check:

   AI helps with data tasks = Sorting data [OK]

Hint: AI is great for repetitive, data-heavy tasks [OK]

Common Mistakes:

• Thinking AI can fully replace human creativity
• Assuming AI can make personal decisions
• Believing AI experiences emotions

2. Which of these is a correct example of a task AI can automate?

easy

A. Checking thousands of invoices for errors

B. Feeling empathy during a conversation

C. Writing a novel from scratch without any human input

D. Making ethical decisions in complex situations

Solution

1. Step 1: Identify AI automation tasks

   AI can automate repetitive, rule-based tasks like checking invoices for errors efficiently.

2. Step 2: Analyze other options

   Writing a novel from scratch, feeling empathy during a conversation, and making ethical decisions require creativity, emotions, or complex judgment beyond current AI capabilities.

3. Final Answer:

   Checking thousands of invoices for errors -> Option A

4. Quick Check:

   AI automates repetitive checks = Invoice error checking [OK]

Hint: AI automates repetitive checks, not emotions or ethics [OK]

Common Mistakes:

• Assuming AI can create original novels alone
• Confusing AI with human emotional skills
• Expecting AI to make ethical choices

3. Consider this scenario: A company uses AI to analyze customer feedback data to find common complaints. What is the main benefit of using AI here?

medium

A. AI can understand emotions in feedback better than humans

B. AI can create new products based on feedback without human input

C. AI quickly processes large amounts of data to identify patterns

D. AI replaces the need for customer service staff entirely

Solution

1. Step 1: Identify AI's role in data analysis

   AI is good at quickly processing large datasets to find patterns or trends, like common complaints.

2. Step 2: Evaluate other options

   AI does not fully understand emotions better than humans, nor can it replace all staff or create products alone.

3. Final Answer:

   AI quickly processes large amounts of data to identify patterns -> Option C

4. Quick Check:

   AI excels at pattern detection in big data [OK]

Hint: AI finds patterns fast in big data, not emotions or creativity [OK]

Common Mistakes:

• Believing AI understands emotions better than humans
• Thinking AI fully replaces human jobs immediately
• Assuming AI can invent products alone

4. A team tried to use AI to automatically approve all loan applications without review. What is the main problem with this approach?

medium

A. AI can make mistakes if it lacks proper rules or data quality

B. AI always makes perfect decisions without errors

C. AI can feel sorry for applicants and adjust decisions

D. AI can replace all human jobs immediately

Solution

1. Step 1: Understand AI decision limits

   AI depends on good data and rules; without them, it can make wrong decisions like approving risky loans.

2. Step 2: Analyze incorrect options

   AI does not always make perfect decisions, cannot feel emotions, and cannot replace all jobs instantly.

3. Final Answer:

   AI can make mistakes if it lacks proper rules or data quality -> Option A

4. Quick Check:

   AI needs good data and rules to avoid errors [OK]

Hint: AI needs good data and rules; it can err without them [OK]

Common Mistakes:

• Assuming AI never makes mistakes
• Thinking AI has emotions
• Believing AI replaces all jobs immediately

5. A hospital wants to use AI to improve patient care. Which task should they choose to get the most benefit from AI?

hard

A. Letting AI decide hospital policies without human input

B. Having AI replace doctors in making all treatment decisions

C. Using AI to comfort patients emotionally during visits

D. Automatically analyzing medical images to detect abnormalities

Solution

1. Step 1: Identify AI's practical medical use

   AI is very effective at analyzing medical images quickly and accurately to detect issues like tumors.

2. Step 2: Evaluate other options

   AI cannot replace doctors fully, provide emotional comfort, or decide policies without humans.

3. Final Answer:

   Automatically analyzing medical images to detect abnormalities -> Option D

4. Quick Check:

   AI excels at image analysis in healthcare [OK]

Hint: Choose data-heavy, repetitive tasks for AI in healthcare [OK]

Common Mistakes:

• Expecting AI to replace doctors completely
• Thinking AI can provide emotional support
• Assuming AI can make policy decisions alone