By David M. Barnett, MAI, SRA, GAR Associates CEO, Partner
The first in a series of blog posts analyzing how artificial intelligence supports the work of assessors.
Artificial intelligence is often described as a future disruptor in real estate. In assessment administration, however, AI is already at work, not as a replacement for professional judgment, but as a decision-support layer integrated into modern Computer Assisted Mass Appraisal (CAMA) and analytics platforms.
For assessors, the practical question is not whether AI will transform the profession, but how thoughtfully it is embedded into systems that support equity, defensibility, and operational efficiency. Today, AI’s most meaningful impact in assessment is occurring in three areas: model performance, data integrity, and workflow automation.
Strengthening Mass Appraisal Models
Contemporary CAMA systems increasingly incorporate machine learning techniques alongside traditional regression approaches. These tools are not speculative, they are operational in many jurisdictions. Applied uses include:
- Automated sales qualification support and anomaly detection
- Market segmentation analysis
- Continuous model recalibration as new verified sales enter the system
- Statistical diagnostics that highlight instability or overfitting
Rather than replacing established mass appraisal methodology, these tools enhance it. Assessors retain control over model structure and calibration while benefiting from improved pattern recognition and faster iteration cycles.
The result is often reduced sales ratio dispersion, improved price-related differential performance, and more defensible equalization outcomes. When embedded directly within the assessment platform rather than deployed as an external add-on, these tools also support consistent model governance, documentation, and auditability.
When embedded directly within the assessment platform, rather than as an external add-on. these tools support consistent model governance and auditability.
Next: Moving from data storage to data intelligence.
