Thursday 31 March 2022

VB Daily | March 31 - Meta AI looks to address gender biases ♀️♂️

Daily Roundup
The Lead 🗞️
[1] Meta AI's open source system attempts to right gender bias in Wikipedia biographies
[2] Why remote browser isolation is core to zero-trust security
[3] What is Autonomous AI?  A guide for enterprises
The Follow 📰
[1] By this point, it's become reflexive: When searching for something on Google, Wikipedia is the de facto go-to first page. The website is consistently among the top 10 most-visited websites in the world.
Yet, not all changemakers and historical figures are equally represented on the dominant web encyclopedia. Just 20% of Wikipedia biographies are about women. That percentage goes down even more when it comes to women from intersectional groups — those in male-dominated industries like sciences, for example, or from historically underrepresented ethnic backgrounds.
This is indicative of the fact that "there's a lot of societal bias on the internet in general," said Meta AI researcher Angela Fan, who set out to explore this imbalance. "AI models don't cover everyone in the world equally."
In addressing this, Fan teamed up with her Ph.D. advisor, author and computer science researcher Claire Gardent, to build an open source AI system that sources and writes first drafts of Wikipedia-style biographies. Today, they released their findings. >> Read more.
[2] Providing internet access to users while protecting against web attacks is the most persistent security challenge organizations face. Unfortunately, the web has become cybercriminals' attack surface of choice. It takes minutes for cybercriminals to create fraudulent landing pages and websites to drive phishing, malware, credential theft and ransomware attacks. Cybercriminals are always sharpening their social engineering skills, making phishing and spoofing attempts difficult to spot.  
Google's Security Team saw a large jump in Chrome browser exploits this year and say the trend continues in 2022. The increase is driven by Chrome's global popularity and Google's improved visibility into exploitation techniques. 
In addition, they're seeing more zero-day exploits in the wild and have set up Project Zero, an internal team, to track zero-day exploits attempted. >> Read more.
[3] Autonomous artificial intelligence is defined as routines designed to allow robots, cars, planes and other devices to execute extended sequences of maneuvers without guidance from humans. 
The revolution in artificial intelligence (AI) has reached a stage when current solutions can reliably complete many simple, coordinated tasks. Now the goal is to extend this capability by developing algorithms that can plan ahead and build a multistep strategy for accomplishing more. Thinking strategically requires a different approach than many successful, well-known applications for AI. 
Autonomous operation often requires imagining many potential outcomes for the future, anticipating possible problems and then setting a course of action that minimizes the dangers while maximizing some other factor like speed or reliability. >> Read more.
How is your org approaching cloud-upskilling?
The Buzz 🐝
Nicolas Papernot
Bias in representations from deep metric learning is propagated **even when
training data in the downstream task is re-balanced**.

At @iclr_conf, Natalie Dullerud evaluates and addresses subgroup gaps in deep metric learning.

Paper link: https://t.co/mvbyxdM1cr https://t.co/5LqZ1DeqXP
IAB PlayFronts 2022
 
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