Professionals who support people with disabilities regularly navigate complex questions about assistance, accommodation, and independence: When does support enable participation, and when does it risk replacing skill or judgment? Generative AI introduces similar tensions into professional practice, documentation, training, and evaluation. This interactive session invites participants to examine how emerging AI tools intersect with long-standing principles of accessibility, support, and human judgment. Rather than focusing on specific technologies, the session centers on design questions: what counts as meaningful competence, how professional reasoning can be made visible, and how supports can be structured ethically and transparently. Participants will engage in guided reflection and redesign activities applicable to training, assessment, and service contexts, leaving with practical frameworks for integrating AI in ways that align with disability-centered values.
Learning Outcomes
- Participants will be able to identify parallels between traditional accommodation/support decisions and emerging questions about AI assistance, drawing on their existing expertise in disability services.
- Participants will apply at least two evidence-based design strategies (explain-the-decision, contextual constraints, or critique-the-support) to strengthen professional practices, training, or assessment in their own contexts.
- Participants will distinguish between AI uses that support professional judgment and those that risk obscuring reasoning, replacing skill development, or undermining disability-centered values such as self-determination and dignity of risk.
- Participants will leave with one concrete redesign of a practice, training activity, or assessment approach that makes human judgment visible while ethically integrating AI-based support tools.