This session explores how AI can function as a support tool within studio practice — assisting with ideation, research, drafting, and articulation — without replacing technical skill, material exploration, or disciplinary expertise.

Faculty will:

• Develop a working understanding of generative AI systems

• Practice structured prompting strategies

• Identify discipline-appropriate use cases

• Establish clear boundaries between enhancement and substitution

This workshop supports the DOL competencies of understanding AI principles, directing AI effectively, and exploring AI applications.

Studio critique depends on nuance, interpretation, and contextual knowledge. As students increasingly use AI-generated feedback, faculty must clarify where professional judgment remains central.

This session addresses:

• Bias and hallucination in AI systems

• Limits of automated critique

• Student comparisons between AI feedback and faculty grading

• Ethical disclosure and transparency

This workshop supports evaluating AI outputs and using AI responsibly, as outlined in the DOL framework.

AI tools can increase access without lowering standards. This session focuses on responsible use of AI to support multilingual students, neurodivergent learners, and diverse learning styles.

Topics include:

• Translation support during critique

• Simplifying assignment language

• Alt-text generation

• Structured reflection scaffolds

This workshop reinforces responsible AI use and equitable access within studio environments.