The viewpoint aims to establish a clear taxonomy for identifying and assessing AI-related mental health harms to improve safety measures.
Discussion of existing frameworks for identifying mental health AI harms.
Proposing the need for a comprehensive taxonomy.
Exploration of assessment strategies and responses to identified harms.
Calls for a nuanced understanding of AI mental health harm.
Highlights the need for tailored response strategies for different types of harms.
Argues against limiting safety discussions to specialized versus general-purpose AI.
Abstract
This Viewpoint discusses developing a taxonomy of AI mental health harm and understanding how to assess and respond to those harms to advance AI safety.