Presented By: DIF - PRIME
Find Webinar Resources or Recorded Version: Hosted on the PRIME Website.
Description:
Job retention support using AI is becoming an important strategy for helping people with disabilities maintain meaningful employment. This webinar explores how artificial intelligence can be thoughtfully and ethically integrated into rehabilitation counseling to better support individuals with disabilities in maintaining employment. Participants will examine key ethical considerations and practical best practices for using AI technologies in service delivery.
In addition, the session will also highlight the DIF PRIME Project, outlining the core support components designed to improve job retention outcomes. In addition, presenters will walk through the process of developing an agentic AI system, including how to assess participant engagement and identify evolving support needs.
Finally, the webinar will address the role of formative evaluation in refining AI tools over time, ensuring systems remain effective, ethical, and responsive to the individuals they are designed to support.
In addition, the session will also highlight the DIF PRIME Project, outlining the core support components designed to improve job retention outcomes. In addition, presenters will walk through the process of developing an agentic AI system, including how to assess participant engagement and identify evolving support needs.
Finally, the webinar will address the role of formative evaluation in refining AI tools over time, ensuring systems remain effective, ethical, and responsive to the individuals they are designed to support.
Presenters:
- David Douglas, CEO, Guideway Labs; Diogo Guimaraes, Chief Technology Officer, Guideway Labs; Timothy Tansey, Principal investigator, DIF PRIME
In the training, you will learn:
- Identify ethical implications and best practices for use of AI technologies in rehabilitation counseling.
- Identify the supports components implemented by the DIF PRIME project to assist individuals with disabilities in retaining their jobs.
- Identify the process for developing an agentic AI system and components to evaluate participant engagement and support needs.
- Identify formative evaluation components, in light of ethical considerations, to continue to improve AI systems.