bate
Is AI the New Frontier of Women's Oppression?
Is AI the New Frontier of Women's Oppression? In her new book, feminist author Laura Bates explores how sexbots, AI assistants, and deepfakes are reinventing misogyny and harming women. After spending her early twenties as a nanny in the UK, Laura Bates noticed that the young girls she was caring for were preoccupied by their bodies, spurred on by the marketing they were receiving. In 2012, Bates, a London-based feminist author and activist, started The Everyday Sexism Project, a website dedicated to documenting and combatting sexism, misogyny, and gendered violence around the world by highlighting insidious instances of it such as invisible labor, referring to women as girls and commenting on their attire in professional settings. The site was turned into a book in 2014.
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- Information Technology > Artificial Intelligence > Natural Language > Chatbot (0.70)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Personal Assistant Systems (0.50)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (0.48)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.30)
I played a hero in Post Office drama, says Toby Jones
Actor Toby Jones, who played the lead role in the TV series about the Post Office scandal, has said he "played a hero" in the drama. He starred as Alan Bates in the ITV show Mr Bates vs the Post Office, which tells the story of hundreds of sub-postmasters who were wrongly accused of theft, fraud and false accounting. Many of the reported losses in branch accounts which led to prosecutions were actually caused by faults in Horizon - the Post Office's computer system. Jones, speaking at the Hay Festival, said Bates - a former sub-postmaster himself, who led the victims' campaign to get justice - "doesn't want any honours until he's finished the job". "I get to play a hero. Really, someone who I think of as a hero. Someone in the culture who just doesn't seem to be subject to the same forces that we all are," the 57-year-old said.
Inside the Taylor Swift deepfake scandal: 'It's men telling a powerful woman to get back in her box'
The social media platform, formerly Twitter, was so slow to react that one image racked up 47m views before it was taken down. It was largely Swift's fans who mobilised and mass-reported the images, and there was a sense of public anger, with even the White House calling it "alarming". X eventually removed the images and blocked searches to the pop star's name on Sunday evening. For women who have been victims of the creation and sharing of nonconsensual deepfake pornography, the events of the past week will have been a horrible reminder of their own abuse, even if they may also hope that the spotlight will force legislators into action. But because the pictures were removed, Swift's experience is far from the norm.
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Putting clear bounds on uncertainty
In science and technology, there has been a long and steady drive toward improving the accuracy of measurements of all kinds, along with parallel efforts to enhance the resolution of images. An accompanying goal is to reduce the uncertainty in the estimates that can be made, and the inferences drawn, from the data (visual or otherwise) that have been collected. Yet uncertainty can never be wholly eliminated. And since we have to live with it, at least to some extent, there is much to be gained by quantifying the uncertainty as precisely as possible. Expressed in other terms, we'd like to know just how uncertain our uncertainty is.
Calibrated Multiple-Output Quantile Regression with Representation Learning
Feldman, Shai, Bates, Stephen, Romano, Yaniv
We develop a method to generate predictive regions that cover a multivariate response variable with a user-specified probability. Our work is composed of two components. First, we use a deep generative model to learn a representation of the response that has a unimodal distribution. Existing multiple-output quantile regression approaches are effective in such cases, so we apply them on the learned representation, and then transform the solution to the original space of the response. This process results in a flexible and informative region that can have an arbitrary shape, a property that existing methods lack. Second, we propose an extension of conformal prediction to the multivariate response setting that modifies any method to return sets with a pre-specified coverage level. The desired coverage is theoretically guaranteed in the finite-sample case for any distribution. Experiments conducted on both real and synthetic data show that our method constructs regions that are significantly smaller compared to existing techniques.
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Regression (0.48)
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- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.34)
SwarmFarm Robotics Successfully Covers One Million Acres of Farming with Autonomous Robots
SwarmFarm Robotics, the leader in Integrated Autonomy for agriculture, announced today that it crossed a significant milestone by successfully covering one million acres, 55,000 hours of operation, and has reduced pesticide inputs by an estimated 580 tons with its autonomous robots. These figures set SwarmFarm apart as the sole leader in a farmer-led movement that is happening whether operators are along for the ride - or not. A recent article published by Precision Farming Dealer stated that Raven Technologies had accumulated 8,000 hours of operational time, covering 69,000 acres. The same piece cited Blue-White Robotics as completing 10,000 hours of safe operation, and Monarch tractor with 1,300 operating hours. "We are excited to hear people talking more and more about the future of autonomy in agriculture - it's great for our category," said Andrew Bate, CEO of SwarmFarm Robotics.
Rep. Jackson stands by calls for Biden cognitive test amid Russia-Ukraine crisis, says president 'not fit'
The'Outnumbered' panel reacts to cyberattacks targeting Ukrainian websites as the U.S. warns of an imminent Russian attack. Rep. Ronny Jackson, R-Texas, is standing by his calls for President Biden, 79, to take a cognitive test, saying that Biden is "not fit to be our president right now" amid the Russia-Ukraine crisis. "The whole country is seeing his mental cognitive issues on display for over a year now, and there's really no question in most people's minds that there's something going on with him, that he's not cognitively the same as he used to be and, in my mind, not fit to be our president right now," Jackson told Fox News Digital in a phone interview. REPUBLICANS URGE BIDEN TO TAKE COGNITIVE TEST, SAY HIS'MENTAL DECLINE' HAS'BECOME MORE APPARENT' Ronny Jackson, the former White House physician who was elected on Nov. 3, 2020, to be the next congressman from Texas' 13th Congressional District. "Every time he gets up and talks to the American people, it's not just the American people that are watching him speak, it's the whole world, and that's part of what the problem is here," Jackson also said.
Startup's evidence-based AI aims to enrich physician decision-making
As a physician, you're painfully aware that medical knowledge is growing at such a fast pace that it's impossible to keep pace with it all. It can even be difficult to quickly pull up everything you need to make the best decision possible for your patient. All of that can contribute to delayed or incorrect diagnoses, with diagnostic errors costing the U.S. health care system between $250 billion to $500 billion annually. Health2047--the Silicon Valley-based subsidiary of the AMA created to overcome systemic dysfunction in the U.S. health care system--recently launched RecoverX to help combat those challenges. The startup company aims to solve the system-level challenges posed by a body of medical knowledge growing so fast that it's humanly impossible to keep up with.
Wanted: 'Superhuman' AI to master a greener grid
As power grids fill up with renewable energy, electric vehicle charging stations and customer-owned generation, they will become too complex and fast-moving for their human operators to keep up with, a group of international researchers warns. The humans will need help from smart machines -- high-performance computers running decisionmaking software systems built with artificial intelligence -- according to researchers at France's grid operator RTE, the U.S. Electric Power Research Institute (EPRI) and other partners. With the proliferation of low-carbon options, "the grid becomes exponentially more challenging to operate," said Jeremy Renshaw, EPRI's AI director. "Grid operators are already stretched to the limit. Getting AI resources to help is going to be critical."
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'We deserve more': an Amazon warehouse's high-stakes union drive
Darryl Richardson was delighted when he landed a job as a "picker" at the Amazon warehouse in Bessemer, Alabama. "I thought, 'Wow, I'm going to work for Amazon, work for the richest man around," he said. "I thought it would be a nice facility that would treat you right." Richardson, a sturdily built 51-year-old with a short, charcoal beard, took a job at the gargantuan warehouse after the auto parts plant where he worked for nine years closed. Now he is strongly supporting the ambitious effort to unionize its 5,800 workers because, he says, the job is so demanding and working for Amazon has fallen far below his expectations. Last August, five months after the warehouse opened, Richardson began pushing for a union in what is not only the first effort to organize an entire Amazon warehouse in the United States, but also the biggest private-sector union drive in the south in years. "I thought the opportunities for moving up would be better. I thought safety at the plant would be better," Richardson said. "And when it comes to letting people go for no reason – job security – I thought it would be different."
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