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Artificial Intelligence in Social Work: Ethical and Risk Management Challenges
9:30 am - 12:30 pm ET
Live Interactive Online Webinar
$60.00

Artificial intelligence (AI) is becoming increasingly prevalent in social work. AI is being used to conduct client risk assessments; assist people in crisis; strengthen prevention efforts; identify systemic biases in the delivery of social services; provide social work education and training; document clinical services; and predict social worker burnout and service outcomes, among other uses. This webinar will examine cutting-edge ethical issues related to social workers’ use of AI; apply relevant ethical standards; and outline key elements of a strategy for social workers’ ethical use of AI. Join Dr. Frederic Reamer as he examines ethical issues and risks related to informed consent and client autonomy; privacy and confidentiality; transparency; potential client misdiagnosis; client abandonment; client surveillance; clinical documentation; plagiarism, dishonesty, fraud, and misrepresentation; algorithmic bias and unfairness; and use of evidence-based AI tools.

*This webinar does not qualify for NBCC clock hours in ethics for Licensed Professional Counselors.

Certificate Display
3.0 Ethics
Objectives

At the conclusion of this webinar, participants will be able to:

  1. Identify ethical issues and challenges associated with the use of artificial intelligence in social work

  2. Apply social work ethics standards

  3. Develop ethics-informed policies and protocols to protect clients and social workers

Outline

9:30 am Artificial intelligence in social work: An overview (including case examples)

10:00 am  Ethical issues in the use of artificial intelligence in social work

10:50 am  Question & Answers Opportunity

11:00 am  Risk management issues in the use of artificial intelligence in social work

11:45 am Protecting clients and practitioners: Ethics-informed protocols

12:15 Conclusion/Q&A

Level
Beginner - Advanced
Audience
Social Workers and Allied Health Professionals