Forbes

AI Recruiting Tools Are Rich With Data Bias And CHROs Must Wake Up

Recently, an Association Workforce Monitor online survey conducted by the Harris Poll asked over 2,000 U.S. adults their thoughts on AI recruiting tools. About one-third of respondents in this recent ...
Forbes

How AI’s Hidden Data Bias Can Impact Your Data Privacy Program (And What To Do About It)

Jodi Daniels is a privacy consultant and Founder/CEO of Red Clover Advisors, one of the few Women’s Business Enterprises focused on privacy. In 2014, two Oregon college students spent hours on a ...
Dark Reading

Data Bias in Machine Learning: Implications for Social Justice

Machine learning and artificial intelligence have taken organizations to new heights of innovation, growth, and profits thanks to their ability to analyze data efficiently and with extreme accuracy.

A new Vector tool screens AI training data for bias

Vector Institute's UnBias-Plus flags biased language in text and training data. For technology leaders, the data layer is ...
IndustryWeek

Data Bias a Known but Uncorrected Issue for Businesses

While appreciation that algorithms and machine-learning programs are not immune to bias is increasingly mainstream, ongoing plans to correct for bias in said programs among businesses that use them ...
VentureBeat

How open-source data labeling technology can mitigate bias

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data labeling is one of the most fundamental aspects of machine learning.
Entrepreneur

The Shocking Ways Data Bias Makes Women ‘Irrelevant,’ and What We Can Do to Stop It

Opinions expressed by Entrepreneur contributors are their own. Women are still considered second, and you might not even realize all the ways this is done. Some are obvious: Women earn less than men ...
Health Affairs

The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...
ZDNet

Fighting bias in AI starts with the data

The push to deliver unbiased and responsible artificial intelligence is admirable, but there are many roadblocks to overcome. Chiefly, AI is only as fair as the data that goes into it. Even among the ...
Medical Xpress

Accounting for bias in medical data helps prevent AI from amplifying racial disparity

Black patients are less likely than white patients to receive medical tests that doctors use to diagnose severe disease such as sepsis, researchers at the University of Michigan have shown. Because of ...
CMS Wire

Rolling Stone, Data Analysis and the Problem of Recency Bias

Recency bias is an underappreciated challenge in data analytics, particularly when historical data is used to draw trends and make predictions. Rolling Stone recently updated its list of the 500 ...