The Tenant Screening Audit

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The Challenge

Ethical Intermediate

A rejected renter is filing a discrimination complaint against you — figure out if your screening rules actually are biased before the deadline hits.

Your Mission

You own a duplex you inherited from your grandmother and rent both units to help cover the $1,400/month mortgage. Over the past 18 months, you've rejected 23 applicants and accepted 4. Last week, a rejected applicant named David Okafor left you a voicemail saying he's filing a fair housing complaint because he believes you're screening out applicants by national origin and income source — he had a Section 8 voucher and a stable job. You pulled up your records and realized you've been using a mental checklist your old property manager gave you years ago: minimum credit score of 680, no gaps in employment over 90 days, income must be 3x rent from a single W-2 job, and no prior evictions. You never thought these rules were biased, but now you're worried. Your county's Human Rights Commission gives landlords 30 days to respond to a complaint with documentation showing their screening criteria are applied consistently and don't unfairly filter out people based on race, national origin, disability, or income source. That deadline is in 5 days. You need to figure out — fast — whether your own screening checklist has hidden bias, and if so, how to fix it before you have to respond.

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What You'll Learn

Learn to prompt AI to analyze a set of screening criteria and identify which rules could unfairly screen out people based on race, national origin, disability, or where their income comes from
Practice asking AI to explain legal concepts in plain language — specifically how neutral-sounding rules can still count as discrimination
Use AI to draft a revised screening policy that keeps legitimate safeguards while removing criteria that create unnecessary bias
Learn to verify AI-generated legal guidance by checking it against your state's actual fair housing laws and HUD guidelines

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