{"id":54186,"date":"2026-04-30T11:40:09","date_gmt":"2026-04-30T18:40:09","guid":{"rendered":"https:\/\/www.yardi.com\/blog\/?p=54186"},"modified":"2026-04-30T11:44:37","modified_gmt":"2026-04-30T18:44:37","slug":"ai-risks-public-housing","status":"publish","type":"post","link":"https:\/\/www.yardi.com\/blog\/ai-risks-public-housing\/","title":{"rendered":"AI risks in public housing: Security checklist for housing authorities"},"content":{"rendered":"\n
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Housing authorities are dealing with staffing shortages and rising compliance demands, all while juggling never-ending manual processes that can\u2019t keep up with how quickly people need housing. This article walks you through the key safeguards your agency should have in place before adopting AI, as well as a checklist to help you take the plunge with confidence, knowing you\u2019re protecting your agency.<\/p>\n\n\n\n

Make sure you\u2019re ready<\/h2>\n\n\n\n

What problems are you trying to solve with AI?<\/strong> For many housing authorities, it could be maintenance requests, tenant communication, fraud detection and reporting.<\/p>\n\n\n\n

What does success with AI look like?<\/strong> Faster service, improved compliance and less manual work tend to be what housing organizations are aiming for.<\/p>\n\n\n\n

And finally, what type of AI fits your needs? <\/strong>That could be predictive analytics, natural language processing or computer vision, depending on what processes you need to automate.<\/p>\n\n\n\n

See how housing leaders are contemplating the best ways AI can be used in practice. Read story.<\/a><\/p>\n\n\n\n

Can AI create fair housing or eligibility risks?<\/h2>\n\n\n\n

Yes, if you\u2019re not careful. AI systems make decisions based on the data they\u2019re trained on. But if that data reflects inequalities that exist in the world, then it can end up reinforcing them. That becomes a concern in areas like tenant screening, housing allocation and waitlist prioritization.<\/p>\n\n\n\n

These are technical issues, but under the Fair Housing Act they are compliance risks.<\/p>\n\n\n\n

The U.S. Department of Housing and Urban Development<\/a> makes it clear that AI tools must adhere to the same nondiscrimination rules that humans must follow. AI doesn\u2019t take responsibility off your plate. It just requires you to have stronger oversight to guarantee decisions are fair.  <\/p>\n\n\n\n

How can we protect resident data when using AI?  <\/h2>\n\n\n\n

This is a big one, and it\u2019s where many organizations run into trouble. The simplest way to protect your resident data when using AI is by ensuring that staff use tools that operate within your agency\u2019s approved systems. This means instructing your staff not to paste resident data or other sensitive information into free AI chatbots. Instead, use AI features built directly into the housing management software.<\/p>\n\n\n\n

From there, you must have the right safeguards in place. Data should be encrypted at rest and in transit, with role-based access controls and audit logs to monitor who is accessing information. It\u2019s also critical to require vendors to clearly document how data is stored and protected. Be sure to confirm your agency retains ownership of resident information.<\/p>\n\n\n\n

Finally, establish written AI policies and make sure a human reviews any decisions that affect eligibility or compliance.<\/p>\n\n\n\n

Here\u2019s how to start addressing AI risks in public housing<\/h3>\n\n\n\n