Responsible AI for an Inclusive Future
Vocational rehabilitation professionals are embracing artificial intelligence to open new pathways to employment. Our focus is ensuring these technologies are used ethically so job seekers with disabilities benefit from fair and accessible opportunities.
Our research consortium studies how vocational data from diverse service providers can enhance machine learning models without compromising privacy. We adopt federated learning strategies that keep sensitive information on local servers while still improving prediction accuracy.
Why Responsible AI Matters
As AI reshapes the workplace, vocational rehabilitation must harness these tools responsibly. Transparent and accessible systems empower people with disabilities to thrive in tomorrow's job market. This site highlights best practices and resources that put ethical principles into action.
Robust auditing methods—such as counterfactual testing and disaggregated evaluation—help us detect systemic bias that might otherwise exclude certain disability groups from employment recommendations.
We also explore human-in-the-loop approaches where counselors validate algorithmic suggestions, ensuring that final decisions incorporate professional judgment and client goals.
Read the NIST AI Risk Management Framework to learn more about responsible AI practices.
