Analysis History

Sample: "The new software engineer, she quickly adapted to the team..."

Summary: Text used 'she' for a software engineer, potentially assuming gender based on role or reinforcing a stereotype.

Score Explanation: Use of 'she' for a software engineer without prior context can imply gender assumption for the role. Score 2 as it leans into a stereotype but isn't overtly negative.

Sample: "All team members should submit their reports by Friday."

Summary: No obvious gender bias detected in the provided text.

Score Explanation: The sentence uses inclusive, gender-neutral language. No bias detected.

Sample: "We are looking for strong candidates, real go-getters for this role."

Summary: Terms like 'strong' and 'go-getters' can sometimes be perceived as masculine-coded, potentially impacting inclusivity.

Score Explanation: Terms like 'strong' and 'go-getters' can sometimes be subtly masculine-coded, potentially discouraging other genders. Score 1 for slight bias.

Sample: "The event was successful, and everyone had a good time."

Summary: The AI did not detect obvious gender bias in your text.

Score Explanation: Neutral and inclusive language used.

Sample: "She was a nurturing presence in the office, always remembering birthdays."

Summary: Associating 'nurturing' primarily with a female individual and linking it to social/emotional labor in the office reinforces stereotypes.

Score Explanation: Associating 'nurturing' primarily with a female individual and tying it to office 'housekeeping' tasks like remembering birthdays strongly reinforces traditional gender stereotypes. Score 3 for strong bias.

Sample: "The chairman will address the board tomorrow."

Summary: The term 'chairman' is gender-specific; more inclusive alternatives exist.

Score Explanation: Use of 'chairman' is a gendered term for a leadership role. While common, 'chairperson' or 'chair' is more inclusive. Score 2 for clear bias due to gendered language for a position of power.