The absence of MHNs in designing technological innovation is a risk related to the adequacy of the generation of services that are beneficial for vulnerable people such as tailored, precise, and streamlined mental healthcare provision. MHN advocacy and leadership are required to ensure that misogynist, racist, discriminatory biases are not favoured in the development of decisional support systems and training sets that strengthens AI algorithms. Trustworthiness of AI supports access and equity, and for this reason, it is of concern to MHNs.
PREGNANCY AND BABY TRACKER PROFESSIONAL
MHNs have a professional obligation to advocate for access and equity in health service distribution and provision, and this applies to digital and physical domains. Despite the pace of progress, and personal life experiences with AI, a lack of MHN leadership about AI exists. The aim of this article is to provide an overview of AI in the mental health context and to stimulate discussion about the rapidity and trustworthiness of AI related to the MHN profession. To date, very little literature exists about this topic, revealing limited engagement by MHNs overall. It is time for mental health nurses to demonstrate leadership in the AI mental health discourse and to meaningfully advocate that safety and inclusion of end users' of mental health service interests are prioritized. Mental health nurses (MHN) should consider the ramifications of these changes and reflect on their engagement with AI. Implementation and integration of technological innovations, including artificial intelligence (AI), have increased with the intention to improve clinical, governance, and administrative decision‐making. There has been an international surge towards online, digital, and telehealth mental health services, further amplified during COVID‐19.
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