Date: Tuesday, May 13, 2025 4:30 PM- Tuesday, May 13, 2025 5:30 PM
Location: RESNA 2025 @ RehabWeek Sheraton Downtown Riverside Chicago, IL
Lead/Instructor: Sivashankar Sivakanthan and Breelyn Styler, Human Engineering Research Laboratories

Abstract: This interactive workshop explores foundations of Artificial Intelligence (AI) and its application towards automation of assistive technology (AT). This includes understanding how Machine Learning (ML) fits in the broader class of AI and how current popular foundational models emerge from these fields. We will also examine current challenges with training models which may unintentionally include bias, and discuss broader ethical considerations.  Through group discussions and brainstorming sessions, participants will share examples and perspectives on how these technologies are applied in AT devices. Attendees will actively engage and shape the conversation, leaving with deeper understanding, practical insight, and fuel ideas for future directions fueled through their lived experience. Key themes include how to maintain user autonomy, and privacy concerns.

Learning Outcomes: Differentiate between Artificial Intelligence, Machine Learning, and Automation within the context of Assistive Technology, including contributing and discussing real-world examples. Collaborate to identify challenges and brainstorm future directions for AI and ML applications in AT, leveraging clinicians' perspectives. Discuss ethical considerations, including user autonomy, privacy, and algorithmic transparency, and their implications in the development and implementation of AI/ML in AT.