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You are here: Home / Machine Learning & AI / Preventing algorithmic discrimination

Preventing algorithmic discrimination

September 2, 2020 by cbn Leave a Comment

Sam DeBrule

Awesome, not awesome.
#Awesome
“Machine learning can assess the effectiveness of mathematical tools used to predict the movements of financial markets, according to new Cornell research based on the largest dataset ever used in this area. The researchers’ model could also predict future market movements, an extraordinarily difficult task because of markets’ massive amounts of information and high volatility.” — Melanie Lefkowitz, Writer Learn More from Cornell Chronicle >

#Not Awesome
“Hundreds of explicit deepfake videos featuring female celebrities, actresses and musicians are being uploaded to the world’s biggest pornography websites every month, new analysis shows. The non-consensual videos rack up millions of views and porn companies are still failing to remove them from their websites.” — Matt Burgess, Editor Learn More from WIRED >

What we’re reading.
1/ Companies need to prevent their AI algorithms from being exposed to “that can indicate protected class such as race or gender” to keep them from being discriminatory. Learn More from Harvard Business Review >

2/ Elon Musk’s Neuralink brain-machine interface startup shows the progress of a device that could be the precursor to augmenting a human brain with AI-enabled software. Learn More from Axios >

3/ The Canadian government inks a deal to roll out facial recognition throughout some of its busiest hubs along the US-Canada border. Learn More from Vice >

4/ People working against bad actors who misuse deepfake technology may always be at a disadvantage because “the nature of the “adversarial network” creating deepfake in the first place is to constantly improve to circumvent detection.” Learn More from The Observer >

5/ Facial recognition technology of the future could more closely resemble today’s ‘Super Recognizers,’ people who can recognize 80% of face of people they meet (the average is 20%). Learn More from Vice >

6/ Drawing on Einstein’s theory of special relativity, researchers have found a new way to make AI algorithms better at predicting the future. Learn More from MIT Technology Review >

7/ The Chinese government issues a warning to TikTok’s parent company, suggesting that the sale of TikTok to a US-based company could violate trade rules that complicates the export of AI-enabled technology like text analysis and voice recognition. Learn More from Engadget >

Letter from the editor:
I hope you’re staying healthy and well through during these trying times.

I wanted to take the opportunity to say how much I appreciate you for being a reader of the Machine Learnings newsletter.

Journal, the company that brings you the Machine Learnings newsletter, has just launched on Product Hunt today! Journal is a productivity tool that will help you make space to breathe, think and create.

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Links from the community.
“Robots that can walk are now striding to market” submitted by Samiur Rahman (@samiur1204). Learn More from The Economist >

“Intelligent Assistants Have Poor Usability: A User Study of Alexa, Google Assistant, and Siri” submitted by Avi Eisenberger (@aeisenberger). Learn More from Nielsen Norman Group >

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