lightbulbPractical problemGender Fairness in Hiring and Career Recommendation
Personalized recommender systems may reinforce social stereotypes through built-in gender bias, affecting fairness.Fairness, Bias, and Research Governance / Gender Fairness in Hiring and Career Recommendation
Personalized recommender systems may reinforce social stereotypes through built-in gender bias, affecting fairness.
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lightbulbPractical problemGender Fairness in Hiring and Career Recommendation
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Affective AI applications may infringe privacy and exacerbate cultural and gender bias.CSCW '24What should we do with Emotion AI? Towards an Agenda for the Next 30 Years
lightbulbPractical problemGender Fairness in Hiring and Career Recommendation
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lightbulbPractical problemGender Fairness in Hiring and Career Recommendation
User search behavior may inadvertently reinforce gender stereotypes.lightbulbPractical problemGender Fairness in Hiring and Career Recommendation
Current career recommendation systems exhibit gender bias, potentially reinforcing gender stereotypes.Related papers
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