Awardee
Opportunity@Work Inc

Amplifying Inclusion in AI Hiring Systems

This systems-level solution works with major hiring platforms to reset the default rules governing job design, candidate screening, and matching—ensuring the skills of workers Skilled Through Alternative Routes (STARs) are visible and valued.

AI is rapidly reshaping hiring decisions. Built on degree-based assumptions, these systems risk scaling exclusion; redesigned to recognize skills, they can amplify inclusion. This systems-level solution works with major hiring platforms to reset the default rules governing job design, candidate screening, and matching—ensuring the skills of workers Skilled Through Alternative Routes (STARs) are visible and valued. By changing how AI systems work, this project expands mobility and opportunity and strengthens employers' talent pipelines.

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Primary Barrier
Biases inside AI systems
Location
District of Columbia
Solution Region
Nation-wide
Community Type
Urban
Annual Operating Budget
$10.1 to 25 Million