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Free Live Event

AI, Ethics, and Safety in Suicide Prevention

  • Audiences Employers, Higher Ed, Mental Health Professionals, Schools
  • CEs Available

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Artificial Intelligence (AI) is rapidly reshaping how we understand and support mental health, but when used in suicide-related contexts, these tools raise critical safety and ethical questions.

Join us for a free, live-only virtual event featuring two leading experts on responsible AI in suicide prevention. This session will present the risks, opportunities, and ethical considerations surrounding AI systems when used across public and clinical settings. Please plan to attend live. No recording or replay will be available.

 

Featured Panelists:

Annika Marie Schoene, Ph.D., will share a deep dive into how AI is used to detect and understand suicide risk, the ethical issues that arise, especially with large language models, and practical policy recommendations focused on privacy, transparency, and human oversight. Dr. Schoene is an Assistant Professor in the Department of Public Health and Health Sciences and serves as Technical Lead for the Responsible AI Practice at Northeastern University.

Nathan C. Walker, Ed.D., will explore how AI harm often stems from a lack of imagination and distance between AI developers and end users. This session highlights best practices from suicide prevention to help protect children, identity groups, and at-risk communities. Dr. Walker is the Principal Investigator of the AI Ethics Lab and a  Lecturer II in the Department of Philosophy & Religion at Rutgers University-Camden, College of Arts and Sciences.

 

What you’ll learn:

  • Key safety and ethical challenges when using AI for suicide related support
  • How AI design can better account for vulnerable and at-risk populations
  • Best practice principles for responsible, human-centered AI use

 

Details

  • Audience: This training is ideal for anyone interested in the responsible and ethical use of AI in mental health and suicide prevention.
  • Length: 2 hours
  • CEs: No

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