AI ni Ohun-ini gidi

Define the property, market, date, and decision. An estimate for internal planning differs from a price shown to a buyer or a recommendation affecting housing access. Check whether features reflect legitimate property information or proxies for protected characteristics and historical segregation. Evaluate errors across neighborhoods, property types, and market conditions. A citywide average can hide systematic under- or over-estimation in particular communities. Monitor changes in listings, interest rates, and data coverage after deployment. Protect applicant, tenant, owner, and location information. Restrict access to records and derived scores, and give people a route to correct inaccurate data. Recommendations should not quietly exclude applicants or steer people without appropriate oversight. Document the model, data, vendor, threshold, and human action. Consult current housing, fair-lending, privacy, and state requirements with qualified experts before relying on an automated outcome.