Why does the nondiscrimination standard matter particularly for automated valuation models?
Correct Answer
D) Models can reproduce bias present in historical data
Why this is correct: Automated valuation models (AVMs) learn from historical data, which may contain biases from past discriminatory practices. Without careful oversight, AVMs can perpetuate or amplify these biases at scale. Why the other choices are wrong: "Models cost more to run in protected neighborhoods" is not a standard concern. "Models are prohibited in certain census tracts" is generally false. "Models require an appraiser's fair housing training" is not a specific requirement for AVMs. Exam tip: AVMs require rigorous testing for bias because they can systematically replicate historical discrimination.
Why This Is the Correct Answer
Why this is correct: Automated valuation models (AVMs) learn from historical data, which may contain biases from past discriminatory practices. Without careful oversight, AVMs can perpetuate or amplify these biases at scale. Why the other choices are wrong: "Models cost more to run in protected neighborhoods" is not a standard concern. "Models are prohibited in certain census tracts" is generally false. "Models require an appraiser's fair housing training" is not a specific requirement for AVMs. Exam tip: AVMs require rigorous testing for bias because they can systematically replicate historical discrimination.
More emerging-appraisal-methods Questions
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Under current USPAP guidance, what is the output of an automated valuation model before an appraiser analyzes it?
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How should an appraiser respond to a client requesting a shorter turn time than credible results allow?
Which assignment type still requires the appraiser to develop an opinion of value?
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A model returns an estimate far from the appraiser's own conclusion. What is the appropriate response?
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