AI-Driven Workplace Accommodation System

Magnify Access is partnering with Sheridan’s Centre for Applied AI (CAAI) to advance the Workplace Accommodation System (W-PAS), a technology platform designed to streamline workplace accommodations for employees with disabilities. This collaborative project has two key objectives: (A) to strengthen the Artificial Intelligence (AI) component of W-PAS to improve the accuracy and relevance of its accommodation recommendations and (B) to validate the platform’s assumptions and outputs through research and testing. The project will engage Sheridan’s staff, faculty, and students in developing machine learning models using curated datasets of workplace accommodations, functional limitations, and environments. It will also include structured validation activities, such as user testing and expert reviews, to ensure that W-PAS’s recommendations align with real-world needs and accessibility standards. The anticipated outcomes include the creation of a robust, AI-enabled recommendation engine, evidence-based insights into accommodation best practices, and new knowledge on how AI can reduce barriers in workplace inclusion. For Sheridan’s students, this project will provide valuable applied research experience in AI, accessibility, and inclusive design. For industry and community partners, the project promises a validated and scalable solution that improves efficiency for employers, reduces bias in decision-making, and creates a more equitable and productive work environment for employees with disabilities.

Faculty Supervisor:

Haruna Isah

Student:

Partner:

Magnify Access

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

Sheridan College Institute of Technology and Advanced Learning

Program: