lightbulbPractical problemGender Fairness in Hiring and Career Recommendation
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
Fairness, Bias, and Research Governance / Gender Fairness in Hiring and Career Recommendation
Affective AI applications may infringe privacy and exacerbate cultural and gender bias.
Similar questions
lightbulbPractical problemGender Fairness in Hiring and Career Recommendation
Personalized recommender systems may reinforce social stereotypes through built-in gender bias, affecting fairness.lightbulbPractical problemGender Fairness in Hiring and Career Recommendation
Survivors of gender-based violence struggle to achieve effective self-defense with existing technologies.lightbulbPractical problemGender Fairness in Hiring and Career Recommendation
Voice assistants defaulting to female voices may reinforce gender bias.lightbulbPractical problemGender Fairness in Hiring and Career Recommendation
Interviewees face anxiety and biased evaluation due to gender appearance in hiring.CSCW '23VR Job Interview Using a Gender-Swapped Avatar: An Experimental Study on Virtual Reality (VR) Job Interviews with Gender-Swapped Digital Avatars
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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