JMIR Publications

ABSTRACT

Background:

The 2SLGBTQIAP+ community faces psychological challenges due to discrimination, stigmatization, and identity-related struggles, potentially leading to mental health issues. Generative conversational Artificial Intelligence (AI), as the latest advancement in the field of AI, imitates human conversation, and can support mental health and inclusivity by reaching marginalized groups. It is noted that while chatbots enhance convenience, users might still question their reliability and accuracy. Despite this, chatbots can benefit underserved communities, improve user satisfaction, and bridge the digital gap. The effectiveness of chatbots depends on their ability to provide relevant information and motivate users, while emotional support might require caution.

Objective:

This study aims to examine the impact of generative conversational AI on the 2SLGBTQIP+ community.

Methods:

The investigation was designed as a scoping review.

Results:

Eight applications (namely, DOT Diary, HIVST-Chatbot, TelePrEP, Amanda Selfie, Crisis Contact Simulator, Rainbow Austin, Tough Talks, and Queer AI) were included and overviewed in the present scoping review. The chatbots and virtual assistants identified serve various purposes: namely, i) to identify 2SLGBTQIAP+ individuals at risk for suicide or contracting HIV or other sexually transmitted infections; ii) to facilitate HIV status disclosure to sex partners; iii) to develop training roleplay personas encompassing the diverse experiences and intersecting identities of 2LGBTQIAP+ youth and educate counselors.

Conclusions:

In conclusion, generative conversational AI holds promise, but it faces obstacles like generating biased content, necessitating continuous oversight and training, and achieving consistent human-like responses, prompting ongoing efforts from mental health experts, the 2SLGBTQIAP+ community, stakeholders, and developers to enhance accuracy, safety, and ethical implementation for positive user interactions.