Boston University
When Systems Hire: Fairer hiring for women in AI workplaces
Comparing job postings with workforce composition, we expose gender bias in AI hiring and work, creating tools to redesign women's skills, assessments, and career pathways.
Women are often excluded from AI-related roles as hiring increasingly relies on automated screening and opaque job requirements. This project will create a Workforce Inclusion Observatory based on comparing AI job postings with organizational workforce composition as well as organizational policies and recruiting practices shaping hiring decisions. Findings will inform an employer toolkit and Skill Navigator including workshops to support women in planning skill pathways and help employers design fair and transparent roles and assessments.
Primary Barrier
Biases inside AI systems
Location
Massachusetts
Solution Region
New England
Community Type
Urban
Annual Operating Budget
More than $500 Million
