Our Investigation into Wisconsin’s Racially Inequitable Dropout Algorithm: What We Found Out
2024-2-24 05:27:11 Author: hackernoon.com(查看原文) 阅读量:12 收藏

Hackernoon logo

Our Investigation into Wisconsin’s Racially Inequitable Dropout Algorithm: What We Found Out by@TheMarkup

Too Long; Didn't Read

But what many people, including school administrators and teachers, don’t know is that the algorithm uses factors outside of a student’s control—like race and free or reduced lunch-price status—to generate these predictions. Our investigation found that after a decade of use and millions of predictions, DEWS may be negatively influencing how educators perceive students of color. And the state has known since 2021 that the predictions aren’t fair.

featured image - Our Investigation into Wisconsin’s Racially Inequitable Dropout Algorithm: What We Found Out

The Markup HackerNoon profile picture


@TheMarkup

The Markup


Nonprofit organization dedicated to data-driven tech accountability journalism & privacy protection.


Receive Stories from @TheMarkup

react to story with heart

RELATED STORIES

Article Thumbnail

Article Thumbnail

Article Thumbnail

Article Thumbnail

Article Thumbnail

L O A D I N G
. . . comments & more!


文章来源: https://hackernoon.com/our-investigation-into-wisconsins-racially-inequitable-dropout-algorithm-what-we-found-out?source=rss
如有侵权请联系:admin#unsafe.sh