Do not let missing data become a denial
Recognize when missing data can create unfair AI outcomes and choose a governed mitigation.
A public service intake desk with a staff member helping an older applicant while another employee reviews a laptop, a small queue in the background, clean municipal office with cool gray walls, blue chairs, bright daylight, room on the left for overlay, realistic workplace photography, no text, words, letters, numerals, logos. A benefits team is using an AI screener. Walk-in applicants have fewer uploaded portal documents, and the system is treating those missing records as lower eligibility. The model is reading missing uploads as low need, but missingness may reflect access barriers. What should Luis do before using the screener…
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