- Date
- September 18, 2026
- Time
- 1:00PM - 5:00PM (MST)
- Sponsor
- Colorado Chapter
- Location
- Beaver Run Resort
620 Village Rd
Breckenridge, CO 80424
- Instructor
- Justin Gohn
Chandra Mast
- Full Price
- $105.00
- AI Price
- $95.00
Course Description
The first two hours of this course is designed for real estate appraisers and focuses on practical, appraisal-centered
use of modern AI tools to support the appraisal process. Participants learn what AI is and is not, how to choose and
configure frontier platforms (ChatGPT, Claude, Gemini), and how to apply prompt fundamentals to common appraisal tasks
such as market-area summary drafting, comparable screening support, document summarization, and basic data clean-up for
exhibits. The course emphasizes ethics, confidentiality, verification, and documentation, with an explicit discussion of
Fair Housing and bias risks in AI outputs, so AI remains decision support while professional judgment remains primary.
The second two-hours of this continuing education session builds on the Colorado Chapter’s Fall 2025 virtual
introduction to AI for appraisers. Designed as a deeper dive for practitioners already familiar with AI fundamentals,
this course emphasizes practical implementation, risk management, and compliance. Hour three focuses on privacy and data
protection best practices, followed by a dedicated 25-minute segment on fair housing compliance and AI bias — addressing
how AI-generated content can inadvertently introduce discriminatory language into appraisal narratives and providing
concrete verification strategies. Hour four features live demonstrations of advanced AI workflows used in commercial
appraisal practice, including lease abstraction, rent roll analysis, zoning code processing, and report quality control.
Participants will leave with an actionable implementation roadmap for their own practice.
ETHICS + FAIR HOUSING / BIAS NOTE
AI tools can generate plausible text that is incorrect, incomplete, or biased. This course includes an
ethics-focused segment and a dedicated discussion of Fair Housing and bias considerations. Participants are instructed
to avoid prompts or outputs that infer, describe, or recommend actions based on protected class characteristics, and to
treat AI-generated narratives as drafts requiring human review for neutral, non-discriminatory language. The workflow
emphasizes verification, source capture, and clear work file documentation so appraisal conclusions remain grounded in
market evidence and professional standards.
Who Should Enroll
State Approvals
| State | QE/CE | Course & Exam | Course Only | Exam Only | Delivery Format | Start Date | Expire Date | State Code |
|---|---|---|---|---|---|---|---|---|
| CO | CE | 4 | Classroom | 03/16/2026 | 03/16/2029 | 3100 (Colorado Chapter) |
Course Objectives
• Describe core AI capabilities/limits and apply appraisal-appropriate guardrails.
• Use ethical and confidential AI practices (safe inputs, de-identification, and human review) appropriate for appraisal work.
• Use repeatable prompt structures to generate appraisal-support artifacts (checklists, draft narrative text, exhibit captions, and simple
tables).
• Summarize appraisal-relevant documents into work file-ready notes with source tracking.
• Identify common AI bias failure modes and apply Fair Housing-aware practices (avoid protected-class inferences, steering language, and discriminatory inputs/outputs).
• Identify privacy and data protection requirements for using AI tools with confidential appraisal information, including zero-retention configurations and protected account types.
• Recognize how AI-generated content can introduce fair housing violations and bias into appraisal reports, and apply verification strategies to detect and prevent discriminatory language.
• Evaluate the USPAP Ethics Rule and Competency Rule implications of incorporating AI tools into appraisal practice, including the Human Collaborator Test framework.
• Demonstrate practical AI workflows for common appraisal tasks including lease abstraction, rent roll analysis, zoning code processing, and report quality control.
• Develop a personal implementation roadmap for integrating AI tools into professional appraisal practice while maintaining compliance with fair housing laws and professional standards.
Event Information
Join us for the Breckenridge Fall Summit in September 2026!
This course will be held Friday, September 18
1pm - 5pm
at the Beaver Run Resort in Breckenridge, CO
This class is approved for 4 hours in the State of CO.
We will be having class on Saturday as well as a group dinner and drinks on Saturday. Stay tuned for more information!