DESCRIPTION

The upcoming webinar is designed to provide an in-depth exploration of Retrieval Augmented Generation (RAG) and its practical applications for professionals in the field of Vocational Rehabilitation. The session will commence with an overview of RAG, elucidating its function and defining its scope within artificial intelligence technologies. Following this, the webinar will specifically address how Rehabilitation Counselors and Vocational Evaluators can leverage RAG to enhance their practices, offering concrete examples and potential strategies for implementation. Furthermore, the discussion will critically examine the ethical considerations surrounding the use of RAG, ensuring that its deployment aligns with the established ethical code of Certified Rehabilitation Counselors (CRC). This comprehensive approach aims to equip practitioners with the knowledge and tools necessary to effectively integrate RAG into their professional activities, fostering an environment of ethical and innovative practice.

Speakers: Christopher Skerritt CRC and Paul Bourgeis Ph.D. CRC

Credits: 1.0 CEs of the following credits have been applied: ABVE, CCMC, CDMS, CLCP-MSCC, CRC-CVE (Pending Approval)

• CE approval codes valid through March 2025.

learning objectives

1. Define Retrieval Augmented Generation (RAG), including its function, mechanisms, and relevance to artificial intelligence technologies.
2. Apply RAG to the practices of Rehabilitation Counselors and Vocational Evaluators, including the identification of specific strategies and tools that can be utilized to enhance their work with clients.
3. Identify actionable insights and strategies for incorporating RAG into their vocational rehabilitation practices, focusing on practical applications that can be adopted immediately.
4. Examine ethical considerations of using RAG in vocational rehabilitation settings, determining whether the use of RAG aligns with the ethical standards and practices mandated by the Certified Rehabilitation Counselors (CRC) code of ethics.
5. Analyze innovative approaches to their work by integrating advanced AI technologies like RAG, thereby enhancing the effectiveness and efficiency of vocational rehabilitation services.