• How AI’s Bias Problem Can Affect Your Next Job Application

  • May 23 2024
  • Duración: 6 m
  • Podcast

How AI’s Bias Problem Can Affect Your Next Job Application Por arte de portada

How AI’s Bias Problem Can Affect Your Next Job Application

Escúchala gratis

Ver detalles del espectáculo

  • Resumen

  • This story was originally published on HackerNoon at: https://hackernoon.com/how-ais-bias-problem-can-affect-your-next-job-application.
    AI bias in recruitment is a growing concern for tech job seekers. Despite its potential for automating HR tasks, AI can perpetuate biases.
    Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-bias, #ai-bias-in-recruitment, #job-hunting, #tech-jobs, #ai-in-hiring, #deandi-in-recruitment, #hackernoon-job-board, #hackernoon-top-story, and more.

    This story was written by: @amply. Learn more about this writer by checking @amply's about page, and for more stories, please visit hackernoon.com.

    AI bias in recruitment arises when systems and tools that are used to screen and select candidates, inadvertently perpetuate or even amplify existing prejudices. These biases often stem from the data these systems are trained on, which can reflect societal prejudices or historical hiring patterns. Names distinct to Black Americans had a lower likelihood of being listed as the best applicant. Names connected to Asian women and white men generally performed better.

    Más Menos
Política y Gobierno
Más Menos

Lo que los oyentes dicen sobre How AI’s Bias Problem Can Affect Your Next Job Application

Calificaciones medias de los clientes

Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.

Reseñas de Audible.com

Opiniones de Amazon
No hay comentarios disponibles