AI voice assistants have long defaulted to female voices, a pattern rooted in historical labor roles, early speech‑data sets, and research suggesting users find female voices pleasant. While newer systems offer male and gender‑neutral options, the bias persists and can reinforce stereotypes about who serves and who holds authority. Studies show mixed evidence on trust differences, and the lack of regulatory standards leaves the issue unresolved. Expanding neutral voice choices, diversifying development teams, and addressing gender bias in design are suggested steps toward more equitable AI. Read more →