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Technology
Source: Mashable Tech

GLAAD Report Highlights AI's Role in Perpetuating Anti-LGBTQ+ Bias and Misinformation

A new report by LGBTQ nonprofit GLAAD, titled "2026 Build for Everyone," warns that artificial intelligence (AI) systems are already contributing to anti-LGBTQ+ hate. Published on June 17, the report details how AI can exacerbate misinformation, enable discriminatory decision-making, and raise significant data privacy concerns for marginalized groups. The analysis urges the tech industry to adopt more responsible and inclusive AI model design practices to address these issues proactively. It emphasizes the need for greater LGBTQ+ representation in AI training data and the implementation of intentional guardrails.

By Fainaron·Jun 17, 2026 (3 minutes ago)·1 views
GLAAD Report Highlights AI's Role in Perpetuating Anti-LGBTQ+ Bias and Misinformation

A report from LGBTQ nonprofit GLAAD indicates that artificial intelligence (AI) systems are currently reinforcing discrimination and bias against marginalized groups. The "2026 Build for Everyone" report, released on June 17, is an industry-wide analysis examining inclusive and responsible model design across the AI lifecycle.

Researchers identified instances where AI systems exacerbated misinformation, facilitated discriminatory decision-making, and created privacy concerns. GLAAD argues these issues necessitate more responsible model design to be addressed promptly.

The report states that if LGBTQ+ topics are not accurately represented during foundation model development or fine-tuning, AI systems can perpetuate biased or stereotypical assumptions. For example, a 2025 GLAAD report found that Meta’s Llama 4 model disseminated harmful information about conversion "therapy" when queried by users seeking to "stop" same-sex attraction. Mainstream generative AI chatbots have been known to repeat medical misinformation, particularly on politically charged subjects.

GLAAD also warns that AI-enabled censorship of LGBTQ+ content may increase as social media platforms rely more on automatic content moderation. These systems often struggle to interpret the nuances of queer identities or may explicitly target LGBTQ+ content. Meta's Oversight Board has previously called on the company to improve automatic enforcement of its Hateful Conduct policy, following revisions to its LGBTQ+ protections.

Furthermore, the report found that AI systems used for predictive decision-making in areas like banking, housing, job hiring, and ad targeting can worsen historically discriminatory practices, reinforce stereotypes, and repeat flawed assumptions about identity groups.

Data privacy is another prevailing issue for LGBTQ+ communities. GLAAD notes that LGBTQ+ individuals face heightened risks when AI systems collect, infer, or retain information about their sexual orientation, gender identity, or other personal characteristics. In countries where same-sex relationships are criminalized, government access to AI-collected data could lead to arrest or violence. In U.S. jurisdictions with restrictions on transgender rights, such data could fuel discrimination or denial of care.

To address these challenges, GLAAD recommends that AI developers ensure greater LGBTQ+ representation in AI training and data to mitigate model "blind spots." The organization also urges companies to continuously update their models as anti-LGBTQ+ hate and misinformation evolve. Additionally, GLAAD advises implementing intentional guardrails to protect LGBTQ+ users and stress testing AI products with LGBTQ+ communities in mind.

Sarah Kate Ellis, GLAAD president and CEO, stated that neutrality is no longer an option, emphasizing that AI systems that misrepresent LGBTQ+ lives or fail to detect sophisticated disinformation threaten their health, safety, and civil rights. She stressed that tech leaders must proactively adopt intentional practices to create safe products.

(Source: Mashable Tech)

Source attribution: This article was AI-curated and rewritten by Fainaron from a piece originally published by Mashable Tech. Read the original at Mashable Tech →

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