Bias is an inclination of temperament outlook to present or hold a partial perspective at the expense of (possibly equally valid) alternatives in reference to objects, people, or groups. Anything biased generally is one-sided and therefore lacks a neutral point of view. Bias can come in many forms and is often considered to be synonymous with prejudice or bigotry.
All stories in Bias
-
Report: Female-sounding voice assistants fuel gender bias
AI-powered voice assistants from Google, Amazon, Apple, and others could be perpetuating harmful gender biases, according ...
-
How to remove hiring bias through gamification
Gamification is getting ready to save us from that awkward pause after a recruiter sits back and says, “So tell me about ...
-
This Chrome plugin removes search bias to give women the visibility they deserve
A new Google Chrome plugin S.H.E. — Search, Human, Equalizer — transforms the way we search by removing bias and putting ...
-
Here are the 7 requirements for building ethical AI, according to the EU commission
In October, Amazon had to discontinue an artificial intelligence–powered recruiting tool after it discovered the system ...
-
How AI can help close the gender pay gap and eliminate bias
We’ve learned how to build self-driving cars and smartphones but somehow still didn't figure out how to pay men and women ...
-
Women in AI need better allies. Here’s how we can all help
Lin Classon, Director of Public Cloud Product at managed cloud provider Ensono and former Googler, has spent her entire career ...
-
Study: Women founders face challenges, but investor bias is rare
It's recently been confirmed that female-led startup companies get just 10 percent of venture capital investment. And according ...
-
This app exposes which cryptocurrency a user is most likely to shill on Twitter
Coinflict of Interest will tell you the odds a particular Twitter user showing will show biases towards Bitcoin, Ethereum, ...
-
AIs are being trained on racist data – and it’s starting to show
Machine learning algorithms process vast quantities of data and spot correlations, trends and anomalies, at levels far beyond ...
-
Predictive policing is a scam that perpetuates systemic bias
Predictive policing exacerbates inherent systemic bias, covers up unlawful policing, and perpetuates misinformation. It's ...
-
Here's why icons are sexist
Icons, which may seem like a small part of the digital landscape, reveal larger issues of unconscious bias in tech ...
-
Why the criminal justice system should abandon algorithms
It's time that US courts stopped relying on biased algorithms to excuse the inherent bias embedded within the criminal justice ...
-
Biased algorithms: here’s a more radical approach to creating fairness
Our lives are increasingly affected by algorithms. People may be denied loans, jobs, insurance policies, or even parole on ...
-
Reddit's r/changemyview is a template for how all online discussion should be
The threads start as they would anywhere else online: a contentious topic, the type that adds fuel to debate before engulfing ...
-
The West’s unconscious bias against tech in Afrika limits innovation
January 2017 was special in many ways; important to note, it was the first time I ever boarded an airplane, but also it was ...
-
Trump's media bias poll might be the most biased thing I've read in 2019
President Trump continues to fire shots at the press, claiming biased coverage, misrepresented facts, and sometimes entirely ...
-
Women were written out of science history – it’s time we put them back in
One reason women tend to be absent from narratives of science is because it’s not as easy to find female scientists on ...
-
5 female entrepreneurs on how to perfect a pitch
With only two percent of all US venture capital going to female founders in 2017, saying women have it tough when pitching ...
-
Facebook's former PR firm seeded fake stories about bias at Apple News
Facebook's recently-fired PR firm allegedly floated a story to journalists that Apple News was biased against Republicans. ...
-
Our lack of interest in data ethics will come back to haunt us
When was the last time you saw a creepy ad on Facebook, which seemed to know about a product you were discussing with a coworker? ...
-
4 human-caused biases we need to fix for machine learning
Bias is an overloaded word. It has multiple meanings, from mathematics to sewing to machine learning, and as a result it’s ...
-
4 human-caused biases we need to fix for machine learning
Bias is an overused term in our language and has many different meanings from mathematics to sewing to machine learning -- ...
