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Webinar

S26-710 Artificial Intelligence in Social Work: Clinical, Organizational, and Policy Applications

Total Credits: 3 Category I CEs

Categories:
700 Professional Growth & Development |  New
Instructor:
Jay Unick, PhD
Course Levels:
Intermediate
Duration:
3 Hours 15 Minutes
Target Audience:
Social Workers, LCPCs, and Psychologists
Dates
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Description

Artificial intelligence (AI) is rapidly transforming health and human services, including social work. This course examines the opportunities and challenges of AI in social work practice, research, and policy. Students will explore how AI can be applied in clinical settings, including its potential role as a therapeutic tool, while critically analyzing ethical concerns, bias, data privacy, and security. The course introduces large language models (LLMs)—the technology behind tools like ChatGPT—that can generate text, analyze data, and simulate conversation, and considers their implications for clinical, organizational, and policy settings. Emphasis is placed on both the risks and the promise of AI for improving outcomes for clients, communities, and systems. 

 

This workshop is in accordance with and compliance with the NASW Standards with a focus on service, dignity and worth of the person, importance of human relationships, integrity, competence and social workers’ ethical responsibilities to clients, to colleagues, in practice settings, as professionals, to the social work profession, to the broader society. 

This workshop is in compliance with the Maryland Board of Social Work Examiners’ COMAR 10.42.03.06.A(5) and with the District of Columbia Board of Social Work 17-70-7008.4.    

Instructor

Jay Unick, PhD Related Seminars and Products

Dr. Unick is a professor at the University of Maryland School of Social Work.  His research interests include social and psychiatric epidemiology, psychiatric diagnosis, health consequences of heroin use, organization and financing of mental health services, and mental health outcome measurement.  He currently focuses on building recovery research infrastructure through academic-community partnerships.  

Agenda & Learning Objectives

AGENDA:

12:50 pm – 1:00 pm Log on  

 

1:00 pm – 4:15 pm  

There will be a 15 minute break.  

  

Introduction and AI Overview 

  • Historical context: automation in helping professions 

  • Overview of AI and machine learning in health and social care 

  • What large language models are and why they matter for social work 

  • How training data shapes outcomes 

  • Professional codes of ethics and alignment with AI use 

  • Issues of consent, transparency, and accountability 

  • Examples of racial, gender, and socioeconomic bias in predictive models 

 

AI in Clinical Practice 

  • AI as a therapist: chatbots, virtual counselors, and digital mental health apps 

  • Case examples and current evidence on effectiveness 

 

Opportunities for AI to Improve Outcomes 

  • Enhancing access to care and scaling interventions 

  • Predictive analytics for risk identification (e.g., child welfare, hospital readmissions) 

  • Tools for case management, documentation, and resource allocation 

 

Practical Issues using AI in social work settings 

  • Risks in storing and sharing client data with AI systems 

  • HIPAA and other regulatory frameworks 

  • Best practices for safeguarding sensitive information 

 

Critical Reflection and Future Directions 

  • Boundaries of AI in social work practice 

  • Human judgment vs. algorithmic decision-making 

  • Skills social workers need in an AI-enabled world 

 

4:15 pm Adjournment 

 

LEARNING OBJECTIVES:

Upon the completion of this workshop, participants will be able to:

  • Identify key concepts in artificial intelligence and machine learning relevant to social work practice, research, and policy. 

  • Evaluate the benefits and risks of AI tools used in clinical, administrative, and policy settings, including issues of bias, privacy, and accountability. 

  • Analyze case examples of AI use in social work, including predictive analytics, chatbots, and decision support tools. 

 

Bibliography & References

BIBLIOGRAPHY & REFERENCES

Casu, M., Triscari, S., Battiato, S., Guarnera, L., & Caponnetto, P. (2024). AI Chatbots for Mental Health: A Scoping Review of Effectiveness, Feasibility, and Applications. Applied Sciences, 14(13), 5889. https://doi.org/10.3390/app14135889 

Mackline Nuwasiima, Metogbe Patricia Ahonon, & Caleb Kadiri. (2024). The Role of Artificial Intelligence (AI) and machine learning in social work practice. World Journal of Advanced Research and Reviews, 24(1), 080–097. https://doi.org/10.30574/wjarr.2024.24.1.2998 

Reamer, F. G. (2023). Artificial Intelligence in Social Work: Emerging Ethical Issues. International Journal of Social Work Values and Ethics, 20(2), 52–71. https://doi.org/10.55521/10-020-205 

Schiff, G. D. (2025). AI-Driven Clinical Documentation—Driving Out the Chitchat? New England Journal of Medicine, 392(19), 1877–1879. https://doi.org/10.1056/NEJMp2416064 

Singer, J. B., Báez, J. C., & Rios, J. A. (2023). AI Creates the Message: Integrating AI Language Learning Models into Social Work Education and Practice. Journal of Social Work Education, 59(2), 294–302. https://doi.org/10.1080/10437797.2023.2189878 

Course Completion & CE Information

Category I Maryland BSWE Requirement

The Office of Continuing Professional Education at the University of Maryland School of Social Work is authorized by the Board of Social Work Examiners in Maryland to sponsor social work continuing education programs. This workshop qualifies for 3 Category I Continuing Education Units. The Office of Continuing Professional Education is also authorized by the Maryland Board of Psychologists and the Maryland Board of Professional Counselors to sponsor Category A continuing professional education. 

 

ASWB Information 

University of Maryland School of Social Work Office of Continuing Professional Education, #1611, 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: 2/11/2024-2/11/2027.  

To receive ACE credit, full attendance is required; no partial credits will be given for partial attendance. 

 

Certificate Access

To access the evaluation and certificate, click on the orange certificate button in your CPE account. Once you complete the evaluation, access to the certificate will be available.  

Live Interactive Webinars (Cat I) and Live Webinars (Cat II) - Allow up to 30 minutes post-training for attendance to be verified, then you will be able to access the evaluation and certificate. 

In Person Trainings - Please allow five (5) business days post-training for attendance to be verified, then you will be able to access the evaluation and certificate. 

 

Please refer to the tab "Live Interactive Webinar Policies & FAQs" for UMSSW Office of CPE policies regarding all live interactive webinar related matters. Contact our office at cpe@ssw.umaryland.edu for more information.  

Evaluation

Participants will have access to the evaluation after attendance has been verified. Evaluations will be available for one (1) week after the workshop has ended.  

After one (1) week, participants will no longer have access to the evaluation and will have to contact CPE about reactivation.

Target Audience

Social Workers, LCPCs, and Psychologists

We welcome anyone interested in the topic!

 

Live Interactive Webinar Platforms

LIVE INTERACTIVE WEBINAR PLATFORMS

The Office of Continuing Professional Education hosts Live Interactive Webinars through Zoom. This platform offers a high quality and user-friendly webinar platform for our registrants.

System Requirements:

  • Operating Systems: Windows XP or higher; MacOS 9 or higher; Android 4.0 or higher.
  • Internet Browser: Google Chrome; Firefox 10.0 or higher.

Our system is not compatible with the Safari web browser.

  • Broadband Internet Connection: Cable, High-speed DSL and any other medium that is internet accessible.

**Please have your device charging at all times to ensure that your device does not lose power during the webinar.

Course Interaction Requirements:

To participate in Live Interactive Webinars, you MUST have a device that allows you to view the presentation on screen and hear the instructor at all times. We do not allow participants to call-in from their phones or mobile devices and solely listen to the presentation. Participation in Live Interactive Webinars is mandatory.

Our webinar policies can be found on our website by clicking here.

Webinar Policies & FAQs

Click The Link to View The Webinar Policies & FAQs

https://umbsswcpe.ce21.com/Page/live-interactive-webinar-procedures-policies-4129

 

 

Code of Conduct

The Office of Continuing Professional Education at the University of Maryland School of Social Work adheres to the NASW Code of Ethics. This policy is to ensure that the training environment for social work professionals remains respectful, productive, and conducive to learning. Disruptive behavior that interferes with the learning process, disrupts the training experience for others, or undermines the integrity of the program will not be tolerated.

 

Expectations for Participant Engagement:

In alignment with the NASW Code of Ethics and the University of Maryland Baltimore Code of Conduct, participants are expected to demonstrate professionalism, which includes respecting confidentiality, maintaining a collaborative and respectful tone, and contributing positively to the group dynamic. Disclosures made during the training (e.g., case studies or personal reflections) must be handled with care and in accordance with ethical and legal guidelines.

All participants in the training program are expected to:

  • Engage actively in the learning process and show respect for the opinions and contributions of others.
  • Demonstrate professionalism in both attitude and behavior, maintaining respect for instructors, peers, and the training environment.
  • Maintain open communication by expressing concerns or disagreements constructively and respectfully.
  • Follow the guidelines and expectations provided by instructors and facilitators.
  • Support a collaborative learning environment where all participants feel valued and safe to contribute.

 

Instructors and CPE staff reserve the right to dismiss participants who do not adhere to ethical/professional principles and standards. If removed, CEs will be adjusted to reflect the time attended, unless otherwise specified. 

ADA Accommodations

To request ADA accommodations:

Please email our office at least four (4) weeks before the workshop. Late requests may not be accommodated.

Our email address is cpe@ssw.umaryland.edu.  

Late Fees and Refunds

The base price is $70, which includes CE credit.  

Late Fee: On 05/27/26, a non-refundable late fee of $20 is added to the base price. Late fees cannot be refunded or applied to account credit.  

Cancellations: **ALL cancellations will be subjected to a $35.00 administration fee.**  To be eligible for a refund or CPE account credit, cancellations must be made at least 24 hours before the workshop. 

For more information, please read the general policies on our website.  

 

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