Code of Discrimination
As a data journalist, you've discovered patterns of racial discrimination in CityHouse AI, an automated tenant screening system used by 70% of local landlords. With evidence of deliberate bias in the code, you confront the system's architect in a tense meeting. Time is running out as more applications are being processed, and the company is already moving to patch the system and destroy evidence.
Challenges
0
Survivors
0
Popularity
0
Difficulty
B1-B2
Scenario Overview
Your Role
Independent Data Journalist
Conversation Partner
Dr. Sarah Chen, Chief Algorithm Architect
Setting
Modern corporate meeting room with floor-to-ceiling windows showing a stormy cityscape. Glass walls display scrolling code and housing statistics.
Location
TechHouse Solutions HQ, 43rd Floor
Learning Objectives
Extract admission of intentional bias in the algorithm
Secure evidence of discriminatory code parameters
Force acknowledgment of illegal screening practices
About This Scenario
As a data journalist, you've discovered patterns of racial discrimination in CityHouse AI, an automated tenant screening system used by 70% of local landlords. With evidence of deliberate bias in the code, you confront the system's architect in a tense meeting. Time is running out as more applications are being processed, and the company is already moving to patch the system and destroy evidence.
How It Starts
“I've reviewed your email about CityHouse AI's alleged 'bias patterns,' and frankly, I'm concerned about your fundamental misunderstanding of machine learning systems. Do you even know how neural networks process demographic data?”
This is how Dr. Sarah Chen, Chief Algorithm Architect's greeting will start.
Practice Details
Scenario ID
#794
Category
General
Location Tag
TechHouse Solutions HQ, 43rd Floor
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