AI in Mental Health Practice Enhancing Client Engagement and Accountability in Ethical Care (2HR) Presented by Kristin Whiting-Davis, LCSW-C

AI in Mental Health Practice Enhancing Client Engagement and Accountability in Ethical Care (2HR)

$32.00

Categories: General Skill Building, Online Course

Course Description

This training explores how artificial intelligence (AI) can be integrated into mental health practices to improve client engagement and accountability. The session covers ethical considerations and practical ways to use AI tools to complement therapeutic work while maintaining a human-centered approach.

Upon completion of the training, participants will be able to:

Define the role of AI in mental health practices.

Describe the ethical considerations of using AI in therapy.

Demonstrate how to use AI tools to enhance client engagement.

Critically evaluate the effectiveness of AI tools in supporting client accountability.

Course Format

Recorded Live Webinar with downloadable presentation slides and/or handouts, evaluation, and a required quiz. The learner is required to pass with a 70% or higher to achieve the CE certificate of completion. The learner is able to reset the test until a satisfactory score is achieved. CE Training Workshops, LLC, provider #1770, is approved as an ACE provider to offer social work continuing education by the Association of Social Work Boards (ASWB) Approved Continuing Education (ACE) program. Regulatory boards are the final authority on courses accepted for continuing education credit. ACE provider approval period: 8/2/2022 – 8/2/2025. CE Training Workshops, LLC has been approved by NBCC as an Approved Continuing Education Provider, ACEP No. 7091. Programs that do not qualify for NBCC credit are clearly identified. CE Training Workshops, LLC is solely responsible for all aspects of the programs. System Requirements: Firefox, Chrome, Brave, Safari, Edge on any modern operating system (Windows, MacOS, Linux, Android, iOS). A desktop browser is recommended. We do not provide support resources for issues encountered using a mobile device. For more information about our policies and board approval statements, please visit our FAQS page.

Meet Your Facilitator

Kristin Whiting-Davis, LCSW-C is a licensed clinical social worker and a dedicated behavioral health leader with over 20 years of experience. As the owner of KWD Wellness, she offers individual and group therapy specializing in trauma, grief, and mindfulness, while providing clinical supervision across Maryland, Virginia, and Washington, DC. At Kaiser Permanente, Kristin manages multiple outpatient behavioral health centers, spearheading mental health initiatives, including digital innovation and quality improvement programs.

With a broad range of experience spanning child welfare, schools, hospital emergency departments, and psychiatric day programs, Kristin brings deep expertise in supporting individuals through diverse challenges.

Syllabus

Objective 1: Understand the Role of AI in Mental Health Practices
• Key Points:
1. Definition and examples of AI tools
2. Benefits and limitations of AI in mental health.
3. Challenges of integrating AI into social work and counseling practices.

Objective 2: Apply Ethical Standards When Incorporating AI
• Key Points:
1. Privacy and confidentiality: Ensuring secure communication and anonymized data.
2. Informed consent: Explaining AI’s role, limitations, and data use to clients.
3. Addressing bias: Using diverse datasets, regular audits, and ensuring transparency
in AI development.

Objective 3: Enhance Client Engagement Using AI Tools
• Key Points:
1. Digital journaling apps
2. Interactive tools for goal setting and emotional support.
3. Personalized interventions tailored to client preferences and cultural competence.

Objective 4: Evaluate Accountability Mechanisms Supported by AI
• Key Points:
1. Progress tracking and feedback loops to align treatment goals.
2. Ethical documentation practices using AI tools.
3. Regular audits and client feedback to ensure transparency and fairness in AI tools.