Zillow providing open-source technology to promote fair housing in AI-powered real estate conversations
Zillow has released its Fair Housing Classifier as open-source technology to enhance fair housing practices in AI-driven real estate conversations. This tool helps detect and address potential biases in AI outputs, ensuring compliance with fair housing laws. The classifier identifies discriminatory inputs or outputs related to protected characteristics, allowing developers to intervene appropriately. Zillow's commitment to transparency and equity is underscored by making the tool freely accessible on GitHub, encouraging collaboration and improvement. With AI's growing role in housing, this initiative aims to ensure that technology advancements do not compromise equity and fairness in real estate, especially for marginalized groups.
Survey data from Zillow reveals that despite long-standing fair housing laws, discrimination remains prevalent, with 57% of respondents reporting experiences of housing discrimination. The Fair Housing Classifier aims to address these issues by promoting equitable and transparent real estate practices.
- Zillow's Fair Housing Classifier promotes compliance with fair housing laws in AI-powered real estate tools.
- The classifier is available as open-source, encouraging collaboration and improvement from various sectors.
- Making the tool accessible on GitHub demonstrates Zillow's commitment to transparency and equity.
- The initiative addresses existing discrimination in housing, benefiting marginalized groups such as LGBTQ+ communities and people of color.
- Zillow's ethical AI team emphasizes prioritizing equitable outcomes in real estate.
- The classifier's effectiveness depends on the willingness of developers and organizations to adopt and enhance the tool.
- Despite the classifier, there is still a significant need for broader education on fair housing rights, as only 42% of survey respondents felt impacted by fair housing issues.
- The classifier may not fully eliminate biases without continuous updates and improvements.
Zillow has created the Fair Housing Classifier for large language models (LLMs) to help others in real estate, civil rights and technology sectors safeguard AI-powered real estate conversations
Many AI tools disregard fair housing requirements and, when deployed, can perpetuate bias and undermine the progress achieved in advocating for fair housing. Zillow's Fair Housing Classifier focuses on mitigating the risk of illegal steering — the practice of influencing a buyer's choice of communities based upon the buyer's legally protected characteristics under federal law.
"Since 2006, Zillow has used AI to bring transparency to home shoppers, powering tools like the Zestimate," said Josh Weisberg, senior vice president of Artificial Intelligence. "We've made it our business to increase transparency in real estate — open sourcing this classifier demonstrates that advancements in technology do not need to come at the expense of equity and fairness for consumers. We're offering free and easy access so that others in civil rights, tech and real estate sectors can use it, collaborate and help improve it."
The Fair Housing Classifier acts as a protective measure, to encourage more equitable conversations with AI technology. It detects questions that could lead to discriminatory responses about legally protected groups in real estate experiences, such as search or chatbots. The classifier identifies instances of noncompliance in the input or the output, leaving the decision of how to intervene in the hands of system developers.
"In today's rapidly evolving AI landscape, promoting safe, secure and trustworthy AI practices in housing and lending is becoming increasingly important to protect consumers against algorithmic harms," said Michael Akinwumi, Ph.D., chief responsible AI officer at the National Fair Housing Alliance. "Zillow's open-source approach sets an admirable precedent for responsible innovation. We encourage other organizations and coalition groups to actively participate, test, and enhance the model and share their findings with the public."
The decision to offer the Fair Housing Classifier as open-source underscores Zillow's commitment to transparency, equity and fair housing in real estate. Organizations looking to adopt the Fair Housing Classifier can access the code and comprehensive framework on GitHub. Trusted partners who would like to contribute to and enhance the classifier can reach out to the email alias on the GitHub page, through which they can request access to training data and a pretrained model, after presenting a genuine use case. This transparency is key to encouraging contributions to improve the model. Improvements to the Fair Housing Classifier can be submitted via the standard request process on GitHub.
Given the hundreds of millions of Americans searching for housing online today, it's vital that people are equipped with tools to make getting home more equitable and transparent — and less daunting. Younger generations, renters, LGBTQ+ people and people of color are more likely to say fair housing is an issue facing them and their families, according to a recent Zillow survey of 26 major
Making the Fair Housing Classifier available as open-source is just one way that Zillow is innovating its pro-consumer approach. Earlier this year, Zillow's cross-functional ethical AI team published AI principles, which highlight the company's commitment to prioritizing equitable outcomes in real estate.
About Zillow Group:
Zillow Group, Inc. (Nasdaq: Z and ZG) is reimagining real estate to make home a reality for more and more people. As the most visited real estate website in
Zillow Group's affiliates, subsidiaries and brands include Zillow®, Zillow Premier Agent®, Zillow Home Loans℠, Trulia®, Out East®, StreetEasy®, HotPads®, ShowingTime+℠, Spruce® and Follow Up Boss®.
All marks herein are owned by MFTB Holdco, Inc., a Zillow affiliate. Zillow Home Loans, LLC is an Equal Housing Lender, NMLS #10287 (www.nmlsconsumeraccess.org). © 2023 MFTB Holdco, Inc., a Zillow affiliate.
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