Responsible AI Use in Architectural Practice
AIAU26-MEL-AI02
Included in subscription
1.5
LU
Course expires on: 07/20/2029
Description
Using AI responsibly depends on professional judgement, firm policies, approved tools, client expectations, and documentation practices. By understanding AI-related risks, you’ll examine misleading outputs, confidentiality concerns, bias, authorship and attribution issues, and overreliance.
The course connects responsible AI use to familiar professional responsibilities, including accuracy, competence, confidentiality, professional oversight, truthful communication, use of sources, client trust, and public welfare. You'll practice identifying AI-related risks, reviewing AI-generated outputs, applying ethical frameworks, and implementing practical guardrails before AI-assisted work informs project communications, decisions, deliverables, or submissions.
Learning Objectives
Identify common risks associated with AI-generated outputs in architectural practice.
Explain ethical and professional responsibilities when using AI.
Recognize when AI-assisted work requires verification, disclosure, documentation, or escalation.
Evaluate AI-generated outputs for accuracy, confidentiality, bias, authorship, and professional risk.
Apply practical guardrails before using AI in client-facing, technical, confidential, or higher-risk workflows.
Reflect on how responsible AI practices can be implemented within individual and firm workflows.