AI Training for AMHPs/Mental Health Social Workers and Community Mental Health Teams

Overview

This course introduces mental health practitioners to the safe, ethical and effective use of AI within statutory mental health practice. It explores how AI systems work, where they add value, and where they create risks, particularly in mental health act assessments, risk formulation, case note documentation, and decision making under the Mental Health Act and the Mental Capacity Act. Through practical examples, case based discussion and values led guidance, participants learn how to use AI as a supportive tool whilst consistently maintaining professional judgement, trauma informed practice, and clear ethical boundaries.

Who is AI Training for AMHPs/Mental Health Social Workers and Community Mental Health Teams aimed at?

AMHPs/Mental Health Social Workers and Community Mental Health Teams

Course Length

1 day

Learning Outcomes

On completion of the course, participants will be able to: 

• Explain what AI is (and is not) and understand why mental health practice is uniquely vulnerable to misuse.

• Describe how AI models generate information, including hallucinations, bias, and limitations relevant to clinical and statutory work.

• Use AI safely to support mental health assessments, including structuring information without drifting into diagnosis or clinical decision making.

• Identify and manage risks of bias, including race, gender, neurodiversity and trauma related distortions in AI outputs.

• Apply safe boundaries for AI in risk work, including suicide/self harm, domestic abuse, coercive control, psychosis and reality testing.

• Use AI appropriately within MHA and MCA contexts, understanding what AI can support (structure, clarity, reflective reasoning) and what it must never influence (detention decisions, capacity determinations).

• Improve documentation quality using AI, while avoiding over reliance, maintaining professional voice, auditing outputs, and recording AI use transparently.

• Work within an ethical framework for AI in mental health, including safety, values, boundaries, professional judgement, human oversight and reflective practice.

• Translate learning into practice through case studies demonstrating