#Awesome
“…In theory, AIs could be used to predict the evolution of the coronavirus too. Inam imagines running unsupervised learning algorithms to simulate all possible evolution paths. You could then add potential vaccines to the mix and see if the viruses mutate to develop resistance. “This will allow virologists to be a few steps ahead of the viruses and create vaccines in case any of these doomsday mutations occur,” he says. It’s an exciting possibility, but a far-off one. We don’t yet have enough information about how the virus mutates to be able to simulate it this time around.” — Will Douglas Heaven, Editor Learn More from MIT Technology Review >
#Not Awesome
“Momentarily put aside your positions on immigration policy, if you will, and consider this case of alleged algorithmic rigging. Whatever your feelings on people seeking legal status in the US, you may find cause for concern about humanity’s growing reliance on machines to determine liberty. Last week, the Bronx Defenders and New York Civil Liberties Union filed a complaint in New York federal district court against local Immigration and Customs Enforcement (ICE) authorities. They allege that the agency adjusted the algorithm it uses to decide when someone should be released on bond. Now, detainees being held on civil immigration offenses overwhelmingly remain in custody even when they pose no flight or public safety risk and regardless of medical conditions.” — Ephrat Livni, Reporter Learn More from Quartz >
What we’re reading.
1/ A team of scientists uses a deep learning algorithm to discover an antibiotic that fights against drug-resistant bacteria in an unconventional way. Learn More from Quanta Magazine >
2/ Now that 700,000 people around the world die each year from infections that were formerly treated by antibiotics, scientists have a moonshot goal of using AI to create “resistance-proof” antibiotics. Learn More from The Atlantic >
3/ As we can use more and more data to predict human behavior, shows like Westworld and Devs try to show us what it will look like as free will erodes. Learn More from The Atlantic >
4/ Many executives are paying for AI tools that eventually need be duct-tapped together with other tools before they’ll ever be useful for their organization. Learn More from Harvard Business Review >
5/ Some AI algorithms can increase bias in the workplace, but a new company is finding ways to use algorithms that nudge people in ways that will decrease bias. Learn More from The New York Times >
6/ To better prepare students for a workplace in which roles are augmented by AI algorithms, business schools begin focusing coursework on topics like ethics, leadership, and emotional intelligence. Learn More from Knowledge @ Wharton >
7/ Google releases an open source tool to help developers build quantum machine learning algorithms that can be duplicated and used by others. Learn More from MIT Technology Review >
Links from the community.
“google-research/automl_zero/” submitted by Samiur Rahman (@samiur1204). Learn More from GitHub >
“20 women doing fascinating work in AI, machine learning and data science” submitted by Avi Eisenberger (@aeisenberger). Learn More from Silicon Republic >
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