G9
Ai Corner
Week 16

Week 16

THE BIAS DETECTIVE

 

Your Mission:  You are an Ai auditor. A bank used an Ai system to automatically approve or reject 12 loan applications. Study the data below, find the pattern, and figure out whether the Ai's decisions were fair.

 

 

Your Steps

01.  Look at the Case File — Review all loan 12 applicant records in the table below.

02.  Spot the Pattern — Look across the decisions — who keeps getting approved, and who keeps getting rejected? Compare their salary and credit score too, not just the outcome.

03.  Name the Bias — Decide what type of bias this is, and explain your reasoning using specific applicant numbers as evidence.

04.  Propose a Fix — Suggest one concrete change to the data or the AI's rules that would make future decisions fairer.

 

Submit Your Findings

Fill in your answers on the Workshhet: The link

 

Case Data — 12 Loan Applications

Applicant #

Zone

Monthly Salary (THB)

Credit Score

Debt Level

AI Decision

1

Sinthorn

28,000

640

Low

Approved

2

Ruamjai

35,000

705

Low

Rejected

3

Sinthorn

22,000

610

Medium

Approved

4

Ruamjai

41,000

720

Low

Rejected

5

Sinthorn

33,000

655

Low

Approved

6

Ruamjai

26,000

690

Medium

Rejected

7

Sinthorn

19,000

590

Medium

Approved

8

Ruamjai

38,000

715

Low

Rejected

9

Sinthorn

30,000

665

Low

Approved

10

Ruamjai

24,000

675

Medium

Rejected

11

Sinthorn

21,000

605

Medium

Approved

12

Ruamjai

45,000

730

Low

Rejected