Structural gaps in AI governance shape mental health tech development
Original framing: “Experts Outline Path to Responsible AI in Mental Health” — bing news
Historically, mental health care has been shaped by colonial and eugenicist paradigms that pathologize non-Western ways of being. AI systems risk replicating these biases unless they are explicitly designed with historical awareness and accountability.
The development of AI in mental health is not a neutral technical endeavor but is deeply shaped by historical, cultural, and economic forces.
Structural gaps in governance and representation must be addressed to prevent AI from replicating existing inequalities. By integrating Indigenous and cross-cultural knowledge, enforcing ethical AI governance, and prioritizing public health over profit, we can create mental health technologies that are both effective and just. This requires a systemic shift in how we define and deliver mental health care, one that centers equity, inclusivity, and long-term sustainability.