In the News: Building Safer AI For LGBTQ Communities

July 28, 2026

What you need to know:

Artificial intelligence (AI) is increasingly shaping healthcare, education, jobs, and online information, but many AI systems still overlook LGBTQ experiences. According to the GLAAD new AI report, this can lead to biased information, discrimination, privacy risks, and the suppression of LGBTQ voices. The report calls on companies to build more inclusive AI through better training data, stronger privacy protections, human oversight, and collaboration with LGBTQ experts.

Our gut reactions:

  • It’s great to see more research focused on representing diverse communities and addressing the needs of LGBTQ individuals. Additionally, it would also be important to acknowledge accessibility for people with disabilities.

  • It’s concerning that AI bias can create invisible barriers in healthcare, housing, employment, and other opportunities.

  • Because younger people are both more likely to identify as LGBTQ and more likely to use AI regularly, these biases could disproportionately affect the generation that relies on AI the most.

  • As AI evolves from chatbots to autonomous agents, stronger oversight and safeguards are increasingly important. We believe that the time to control these concerns and issues is now.

  • Authentic representation is a valuable goal, but capturing the diversity and cultural nuance of LGBTQ experiences remains a challenge..

  • We think it’s headed in the…

  • Right direction

  • Wrong direction

  • Too soon to tell

What to look out for:

  • Will AI companies meaningfully improve the diversity and quality of their training data to better represent LGBTQ communities, women, BIPOC individuals, and other marginalized groups?

  • How will developers ensure AI authentically represents the wide range of LGBTQ experiences without reinforcing stereotypes?

  • Will governments and technology companies create clear standards and accountability to ensure AI is developed fairly for everyone?

References

 
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