Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
SHARE THIS:

5 years ago
The Movement to Hold AI Accountable Gains More Steam

 
Originally published in Wired, Dec 2, 2021.

A New York City law requires algorithms used in hiring to be “audited” for bias. It’s the first in the US—and part of a larger push toward regulation.

Algorithms play a growing role in our lives, even as their flaws are becoming more apparent: A Michigan man wrongly accused of fraud had to file for bankruptcy; automated screening tools disproportionately harm people of color who want to buy a home or rent an apartment; Black Facebook users were subjected to more abuse than white users. Other automated systems have improperly rated teachers, graded students, and flagged people with dark skin more often for cheating on tests.

To continue reading this article, click here.

 

Comments are closed.