This presentation explores the transformative role of AI technologies, such as machine learning and computer vision, in enhancing accuracy, efficiency, and fairness in mass property appraisal. By examining AI applications like automated valuation models (AVMs), image recognition, and predictive analytics, attendees will gain insight into how AI improves property valuations. The session will also address ethical considerations, biases, and future directions in the field, offering practical case studies and implementation tips for assessors.
- Latest AI Trends and Their Impact on Mass Appraisal
Shail Jain, CEO, Farragut Systems, Durham, NC - Cowculating the Promise of Machine Learning in Assessment
Brady Andersen, Appraiser, Weber County Assessor's Office, Ogdent, UT
Nick Morgan, Engineer, Valuebase, Austin, TX
