Artificial intelligence in mental health
Topic
Artificial intelligence in mental health refers to the application of machine learning, natural language processing, and virtual assistants to support psychological well-being, clinical decision-making, and administrative workflows. These technologies power conversational AI therapists, digital phenotyping tools, and predictive models designed to diagnose, monitor, and treat mental health conditions. While offering scalable and accessible self-help resources, the integration of AI in mental health care also raises significant ethical concerns regarding data privacy, algorithmic bias, and the preservation of human empathy.
What experts have said about Artificial intelligence in mental health
2 statements · 1 negative · 1 mixed
AI mental-health support may help short term but harm outcomes with long-term use.
“AI is good short-term and is bad to use long-term.”
Open the episode · The Brutal Reality For Most Men Today (& how to fix it) - Dr K HealthyGamer - #1151Listen at 1:51:19
Outsourcing mental-health management to AI may reduce personal coping ability.
“If you are using AI to manage your mental health, your own ability to manage your mental health will decrease over time.”
Open the episode · The Brutal Reality For Most Men Today (& how to fix it) - Dr K HealthyGamer - #1151Listen at 1:51:41
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.
