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When I Selected, 'Rather Not Say', Gemini Said, 'I'll Decide for You'. In Case It's Not Obvious, Here's Why that...

Enterprise AI is being deployed as core infrastructure that routinely infers personal identity attributes such as gender, voice, and facial characteristics. In Google Gemini Meet Notes, a non‑binary user who selected "Rather not say" was mis‑gendered as "she," illustrating how systems prioritize inference over declared preferences. Similar biases appear in voice‑biometric authentication and face‑recognition, leading to false rejections and disproportionate error rates for marginalized groups. The article warns that without clear correction mechanisms and governance, these misclassifications shift administrative burdens onto users and expose organizations to compliance risk.