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Computers are being asked to make more and more weighty decisions, even as their performance reviews are troubling
by Tricia Wang
Image recognition systems offer the promise to learn from images at scale without requiring expert knowledge. However, past research suggests that machine learn...
People won’t speak up if they don’t trust the process.
Dalits from India have trouble getting hired in the US because of caste discrimination by other Indians/Indian-Americans.
What do we know about how this software affects students’ learning?
Automated hiring systems are paradoxical. Although often the stated reason for adopting them is to curtail human bias, they frequently end up exacerbating the biases they’re meant to correct.
We set out to write the sum of all human knowledge. Unfortunately, it's complicated.
Searching Google’s ad buying portal for “Black girls” returned hundreds of terms leading to “adult content”
Top uni takes action after El Reg highlights concerns by academics
Facebook chief AI scientist Yann LeCun got into a debate with Google AI ethics co-lead Timnit Gebru about bias. Here are some key lessons to be learned.
Serious ethical shortcomings exist in Large Vision Datasets with human subjects. Reverse image search is evolving rapidly. We need to take action now!
Twitter user Dan Hirschman posts another example of search results that are — let’s just say — questionable: This is what a racist algorithm looks like. (H/T @epopppp) pic.twitter…
The algorithm only recommended around 18% of black patients for follow-up care, versus 82% of white patients, even when both groups were similarly sick.
Error rate for African American speech is nearly double that for others.
Employers are increasingly using information and communication technologies to monitor employees. Such workplace surveillance is extensive in the United States, but its experience and potential conse...
"I want the reckoning to not just be on the backs of the people who were most hurt by it."