osi_info_program + ai   59

In the struggle for AI supremacy, China will prevail - The gladiator’s edge
review of Kai-Fu Lee, "AI Superpowers: China, Silicon Valley and the New World Order"
AI  China; 
october 2018 by osi_info_program
Yuval Harari: Hacking Humanity | CBC Radio
Our brains are getting hacked. Artificial intelligence, biotechnology and ever-sophisticated algorithms are tapping into our values, habits, tastes, desires and the very thought patterns that define us — all to control how we shop, what we read, and whom we vote for. <...> We are too easily hacked — and we shouldn't even be surprised by the fact. We do not choose the family into which we're born, nor the place, nor our physical or mental attributes, nor even our desires. So does this mean we're hardwired to be controlled by corporate and governmental agencies? Not quite. We can use artificial intelligence to combat the intrusions of artificial intelligence. So any time a hack is about to occur, whether it's information is being collected while we're online, or traveling with our cell phones in hand, we could be notified that the hack is in progress, and have the option to block it.
AI  manipulation 
september 2018 by osi_info_program
An Overview of National AI Strategies – Politics + AI – Medium
This article summarizes the key policies and goals of each strategy, as well as related policies and initiatives that have announced since the release of the initial strategies. It also includes countries that have announced their intention to develop a strategy or have related AI policies in place.

I plan to continuously update this article as new strategies and initiatives are announced. If a country or policy is missing (or if something in the summary is incorrect), please leave a comment and I will update the article as soon as possible.
ai  ee  national 
september 2018 by osi_info_program
Her rapist was convicted because of a rape kit. So why are so many kits untested? | KUOW News and Information
Ohio also invested heavily in new robotics to process dozens of samples at once and save scientists from repetitive manual tasks, such as sucking up and squeezing out drops of chemicals with pipettes.

“The robots do about three times the amount of work that an individual scientist could do,” Slaper said.
ee  rape_kit  AI  crime  automation  RABA 
august 2018 by osi_info_program
Evening Standard comment: Artificial intelligence will be good for the NHS | London Evening Standard
The exciting medical breakthrough announced today by doctors at London’s Moorfields Eye Hospital, in which artificial intelligence has been used to diagnose more than 50 types of eye disease and prioritise the patients with the most severe conditions for the speediest treatment, promises to bring major benefits for the hundreds of thousands of people who suffer from potentially sight-threatening conditions.
ee  ai  machinelearning  diagnosis  health  deep_mind 
august 2018 by osi_info_program
As Google AI researcher accused of harassment, female data scientists speak of 'broken system' | Technology | The Guardian
Lum is well aware of the importance of diversity in her field. She has researched predictive policing programs, exposing how flawed data and AI can replicate and exacerbate racially biased law enforcement practices.
analytics  advocacy  ee  HRDAG  sexual_harassment  AI 
july 2018 by osi_info_program
Ways to think about machine learning — Benedict Evans
Five years ago, if you gave a computer a pile of photos, it couldn’t do much more than sort them by size. A ten year old could sort them into men and women, a fifteen year old into cool and uncool and an intern could say ‘this one’s really interesting’. Today, with ML, the computer will match the ten year old and perhaps the fifteen year old. It might never get to the intern. But what would you do if you had a million fifteen year olds to look at your data? What calls would you listen to, what images would you look at, and what file transfers or credit card payments would you inspect?
ee  machinelearning  ai 
june 2018 by osi_info_program
Deepfake Videos Are Getting Impossibly Good
The new system enables “full control over the target by transferring the rigid head pose, facial expression and eye motion with a high level of photorealism.”
ee  deep_fakes  synthetic  ai  video 
june 2018 by osi_info_program
On Ethics and Techno-Utopianism at the Media Lab
Having said that, I believe that we need to continue to integrate social sciences and reflection even more deeply into our science and technology work. While I have a big voice at the Lab, the Lab operates on a "permissionless innovation" model where I don't tell researchers what to do (and neither do our funders). On the other hand, we have safety and other codes that we have to follow--is there an equivalent ethical or social code that we or other institutions should have? Harrison Eiteljorg, II thinks so. He wrote, "I would like to encourage you to consider adding to your staff at least one scholar whose job is to examine projects for the ethical implications for the work and its potential final outcome." I wonder, what would such a process look like?
ee  ethics  AI  MIT  media 
june 2018 by osi_info_program
How an A.I. ‘Cat-and-Mouse Game’ Generates Believable Fake Photos - The New York Times
As it built a system that generates new celebrity faces, the Nvidia team went a step further in an effort to make them far more believable. It set up two neural networks — one that generated the images and another that tried to determine whether those images were real or fake. These are called generative adversarial networks, or GANs. In essence, one system does its best to fool the other — and the other does its best not to be fooled.
ee  ai  fake  deepfake  neural 
may 2018 by osi_info_program
Fraudulent claims made by IBM about Watson and AI | Roger Schank
I started a company called Cognitive Systems in 1981. The things I was talking about then clearly have not been read by IBM (although they seem to like the words I used.) Watson is not reasoning. You can only reason if you have goals, plans, ways of attaining them, a comprehension of the beliefs that others may have, and a knowledge of past experiences to reason from. A point of view helps too. What is Watson’s view on ISIS for example?

Dumb question? Actual thinking entities have a point of view about ISIS. Dogs don’t but Watson isn't as smart as a dog either. (The dog knows how to get my attention for example.)
ee  ai  watson  natural_language  NLP 
may 2018 by osi_info_program
Forget Killer Robots—Bias Is the Real AI Danger - MIT Technology Review
The problem of bias in machine learning is likely to become more significant as the technology spreads to critical areas like medicine and law, and as more people without a deep technical understanding are tasked with deploying it.
ai  ethics  machinelearning  bias  apple  ee 
may 2018 by osi_info_program
A pioneer in predictive policing is starting a troubling new project - The Verge
Wilson also pointed out that the paper fails to incorporate documented approaches to evaluating biased outcomes in machine learning: “The authors could have [looked at] whether their algorithm achieves statistical parity across races and ethnicities … They also could have looked for so-called disparate mistreatment by looking to see if the classification errors are evenly spread across these groups. But they did none of this, even though the methods to do so are well-known in the fair algorithms and even the predictive policing literature.”

As for Brantingham’s and his co-authors’ insistence of how preliminary this research is, Wilson noted a similar defense was used for controversial research using AI to identify sexual orientation or criminality. Like Brantingham’s paper, “both of these studies also had fundamental methodological problems. But that doesn’t obviate the essential ethics of the research itself: should we be doing this research at all?”
ee  ai  crime  predictive_policing  gangs 
may 2018 by osi_info_program
Opinion | How the Human Rights Movement Failed - The New York Times
At the most, activists distance themselves from free-market fundamentalism only by making clear how much inequality undermines human rights themselves. Minimum entitlements, like decent housing and health care, require someone to pay. Without insisting on more than donations from the rich, the traditional companionship of human rights movements with neoliberal policies will give rise to the allegation that the two are in cahoots. No one wants the human rights movement to be remembered as a casualty of a justifiable revolt against the rich.
ee  humanrights  inequality  AI 
april 2018 by osi_info_program
Here Come the Fake Videos, Too - The New York Times
He said he had created FakeApp as a creative experiment and was chagrined to see Reddit’s deepfake community use it for ill.

“I joined the community based around these algorithms when it was very small (less than 500 people),” he wrote, “and as soon as I saw the results I knew this was brilliant tech that should be accessible to anyone who wants to play around with it. I figured I’d take a shot at putting together an easy-to-use package to accomplish that.”

N. said he didn’t support the use of FakeApp to create nonconsensual pornography or other abusive content. And he said he agreed with Reddit’s decision to ban explicit deepfakes. But he defended the product.

“I’ve given it a lot of thought,” he said, “and ultimately I’ve decided I don’t think it’s right to condemn the technology itself — which can of course be used for many purposes, good and bad.”
ee  ai  truthiness  video  pornography  verification 
march 2018 by osi_info_program
People Are Using AI to Create Fake Porn of Their Friends and Classmates - Motherboard
growing community of redditors who create fake porn videos of celebrities using existing video footage and a machine learning algorithm. This algorithm is able to take the face of a celebrity from a publicly available video and seamlessly paste it onto the body of a porn performer. Often, the resulting videos are nearly indecipherable from reality. It’s done through a free, user-friendly app called FakeApp.
ai  business  pornography  evidence  fake 
february 2018 by osi_info_program
Progress in AI isn’t as Impressive as You Might Think - MIT Technology Review
If machines aren’t nearly as intelligent as we’d often like to believe, it’s natural to wonder what that might mean for the tech industry that’s betting so heavily on AI today. “There is, clearly, an AI bubble at present,” writes Michael Wooldridge, an AI researcher who leads the computer science department at the University of Oxford. “The question that this report raises for me is whether this bubble will burst, [like] the dot-com boom of 1996-2001, or gently deflate, and when this happens, what will be left behind?”
december 2017 by osi_info_program
Researchers use facial recognition tools to predict sexual orientation. LGBT groups aren’t happy.
Privacy advocates have long warned about the potential for facial recognition technology to be abused. Law enforcement agencies and private companies already quietly collect and analyze huge troves of...
AI  facialrecognition  lgbt  km  from notes
september 2017 by osi_info_program
Dear Elon–Forget Killer Robots. Here’s What You Should Really Worry About
Panicking about killer robots is foolish when you have many more immediate problems, writes columnist Caroline Sinders.
AI  ethics 
august 2017 by osi_info_program
Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning | Mental Floss
At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data.
ai  machine_learning  ee 
june 2017 by osi_info_program
Artificial intelligence runs wild while humans dither
A study published last month in the research journal Plos One, analysing the use of bots on Wikipedia over a decade, found that even those designed for wholly benign purposes could spend years duelling with each other.

In one such battle, Xqbot and Darknessbot disputed 3,629 entries, undoing and correcting the other’s edits on subjects ranging from Alexander the Great to Aston Villa football club.

The authors, from the Oxford Internet Institute and the Alan Turing Institute, were surprised by the findings, concluding that we need to pay far more attention to these bot-on-bot interactions. “We know very little about the life and evolution of our digital minions.”
AI  algorithms  public_sphere 
march 2017 by osi_info_program
Kate Crawford & Ryan Calo: There is a blind spot in AI research : Nature News & Comment
Fears about the future impacts of artificial intelligence are distracting researchers from the real risks of deployed systems, argue Kate Crawford and Ryan Calo.
algorithms  AI  predictive_policing 
october 2016 by osi_info_program
Chatbot lawyer overturns 160,000 parking tickets in London and New York | Technology | The Guardian
Dubbed as “the world’s first robot lawyer” by its 19-year-old creator, London-born second-year Stanford University student Joshua Browder, DoNotPay helps users contest parking tickets in an easy to use chat-like interface.
technology  news  ai  robots  ee 
july 2016 by osi_info_program
Artificial Intelligence: an Existential Threat?
Voice of Russia radio discussion of AI, the Singularity, consciousness, automated weapons, and existential threats to the human race featuring Nick Bostrum, Noel Sharkey, Mark Bishop, and Wendy M. Grossman and hooked to the announcement of the new Cambridge centre.
AI  robots  automation 
december 2012 by osi_info_program
Interview with Peter Norvig, by Wendy M. Grossman
In this Guardian interview, Google research director Peter Norvig discusses self-driving cars, the Singularity, and managing research.
robots  research  Google  AI 
december 2012 by osi_info_program
The Unrecognized Death of Speech Recognition
"The accuracy of computer speech recognition flat-lined in 2001, before reaching human levels. The funding plug was pulled, but no funeral, no text-to-speech eulogy followed. Words never meant very much to computers—which made them ten times more error-prone than humans. Humans expected that computer understanding of language would lead to artificially intelligent machines, inevitably and quickly. But the mispredicted words of speech recognition have rewritten that narrative. We just haven’t recognized it yet."
ai  semanticweb  speech_recognition  oped 
may 2010 by osi_info_program

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