Copy
Machine Learnings

Awesome, not awesome.

#Awesome
"It’s encouraging to see international organizations trying to include more diverse perspectives in their discussions about AI. It’s important for all of us to remember that regional and cultural diversity are key to any conversation about AI ethics. Making responsible AI the norm, rather than the exception, is impossible without the voices of people who don’t already hold power and influence." - Abhishek Gupta and Victoria Heath Learn More from MIT Technology Review >

#Not Awesome
"Children, in other words, are often at the forefront when it comes to using and being used by AI, and that can leave them in a position to get hurt. “Because they are developing intellectually and emotionally and physically, they are very shapeable,” says Steve Vosloo, a policy specialist for digital connectivity at Unicef, the United Nations Children Fund." - Karen Hao, Reporter Learn More from MIT Technology Review >

What we're reading.

1/ Algorithms can ensure that information that would be valuable to many is never seen. Learn More from The Walrus >

2/ Social scientists hope they can use algorithms to develop policies that will better represent groups of people than the current electoral system. Learn More from Scientific American >

3/ Autonomous vehicle designers believe that a "reachability-based" approach to the unpredictability of can make the vehicles 100% safe against all legal traffic. Learn More from Inverse >

4/ Engineers look to develop AI systems in Africa as algorithms developed elsewhere may never be able to outperform those developed using local datasets. Learn More from Quartz >

5/ Researchers launch a tool that makes it possible to search through millions of historical newspapers. Learn More from The Next Web >

6/ One of the creators of facial recognition technology set his original research papers on fire, potentially in an attempt to destroy evidence of its unethical beginnings. Learn More from Observer >

7/ Self-driving cars are able to stay safe by always predicting the worst possible outcomes. Learn More from Yahoo! >

Links from the community.

"Real-Time License Plate Identification System" submitted by Samiur Rahman (@samiur1204). Learn More from GitHub >

"On lying AIs" submitted by Avi Eisenberger (@aeisenberger). Learn More from TechCrunch >

See these stories in Journal >

First time reading Machine Learnings? Subscribe to get the next edition >
20/09/20 View this email in your browser
Copyright © 2020 Machine Learnings, All rights reserved.


Done learning about AI?
Opt out of emails