Phys .org: Researchers use algorithm from Netflix challenge to speed up biological imaging

Phys .org: Researchers use algorithm from Netflix challenge to speed up biological imaging. “Researchers have repurposed an algorithm originally developed for Netflix’s 2009 movie preference prediction competition to create a method for acquiring classical Raman spectroscopy images of biological tissues at unprecedented speeds. The advance could make the simple, label-free imaging method practical for clinical applications such as tumor detection or tissue analysis.”

Wired: How Amazon’s Algorithms Curated a Dystopian Bookstore

Wired: How Amazon’s Algorithms Curated a Dystopian Bookstore. “Once relegated to tabloids and web forums, health misinformation and conspiracies have found a new megaphone in the curation engines that power massive platforms like Amazon, Facebook, and Google. Search, trending, and recommendation algorithms can be gamed to make fringe ideas appear mainstream. This is compounded by an asymmetry of passion that leads truther communities to create prolific amounts of content, resulting in a greater amount available for algorithms to serve up … and, it seems, resulting in real-world consequences.”

Wired: When Algorithms Think You Want to Die

Wired: When Algorithms Think You Want to Die. “Social media platforms not only host this troubling content, they end up recommending it to the people most vulnerable to it. And recommendation is a different animal than mere availability. A growing academic literature bears this out: Whether its self-harm, misinformation, terrorist recruitment, or conspiracy, platforms do more than make this content easily found—in important ways they help amplify it.”

Popular Mechanics: Left to Their Own Devices, Pricing Algorithms Resort to Collusion

Popular Mechanics: Left to Their Own Devices, Pricing Algorithms Resort to Collusion. “When you’re browsing online, who sets the prices? An algorithm, most likely. A study from 2015 showed that a third of all items on Amazon had prices set by an algorithm, and chances are that percentage has only risen. A new study shows how easy it would be for price-setting algorithms to learn to collude with each other and keep prices at a disadvantage for customers.”

Sydney Morning Herald: Google search ranking boss warns against algorithm oversight

Sydney Morning Herald: Google search ranking boss warns against algorithm oversight. “Search giant Google has warned that the Australian competition watchdog’s proposal for a regulator to oversee its algorithm could increase risks from spammers. One of the Google’s top executives, vice-president of search Pandu Nayak, said the Australian Competition and Consumer Commission’s proposal to impose oversight on the way search engines rank information and news articles through a review authority could invite trouble.”

MIT Technology Review: This is how AI bias really happens—and why it’s so hard to fix

MIT Technology Review: This is how AI bias really happens—and why it’s so hard to fix. “Over the past few months, we’ve documented how the vast majority of AI’s applications today are based on the category of algorithms known as deep learning, and how deep-learning algorithms find patterns in data. We’ve also covered how these technologies affect people’s lives: how they can perpetuate injustice in hiring, retail, and security and may already be doing so in the criminal legal system. But it’s not enough just to know that this bias exists. If we want to be able to fix it, we need to understand the mechanics of how it arises in the first place.”

KSEN: MSU Researchers Receive Grant To Build ‘Algorithmic Awareness’ As Form Of Digital Literacy

KSEN: MSU Researchers Receive Grant To Build ‘Algorithmic Awareness’ As Form Of Digital Literacy. “To help increase awareness of algorithms, the [Montana State University] Library received a $50,000 grant for ‘Unpacking the Algorithms That Shape our User Experience.’ The project includes three main parts, all with a goal of introducing “algorithmic awareness” as a form of digital literacy: researching algorithms and writing a report for users, developing a teaching tool in order to give transparency to common algorithms, and creating a curriculum and pilot class. “