jm + computer-vision   4

Do algorithms reveal sexual orientation or just expose our stereotypes?
'A study claiming that artificial intelligence can infer sexual orientation from facial images caused a media uproar in the Fall of 2017. [...] Michal Kosinski, who co-authored the study with fellow researcher Yilun Wang, initially expressed surprise, calling the critiques “knee-jerk” reactions. However, he then proceeded to make even bolder claims: that such AI algorithms will soon be able to measure the intelligence, political orientation, and criminal inclinations of people from their facial images alone.'

'In [this paper], we have shown how the obvious differences between lesbian or gay and straight faces in selfies relate to grooming, presentation, and lifestyle  —  that is, differences in culture, not in facial structure. [...] We’ve demonstrated that just a handful of yes/no questions about these variables can do nearly as good a job at guessing orientation as supposedly sophisticated facial recognition AI. Therefore — at least at this point — it’s hard to credit the notion that this AI is in some way superhuman at “outing” us based on subtle but unalterable details of our facial structure.'
culture  facial-recognition  ai  papers  facial-structure  sexual-orientation  lgbt  computer-vision 
6 days ago by jm
[1801.02780] Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and Logos
Well, so much for that idea.
We propose a new real-world attack against the computer vision based systems of autonomous vehicles (AVs). Our novel Sign Embedding attack exploits the concept of adversarial examples to modify innocuous signs and advertisements in the environment such that they are classified as the adversary's desired traffic sign with high confidence. Our attack greatly expands the scope of the threat posed to AVs since adversaries are no longer restricted to just modifying existing traffic signs as in previous work. Our attack pipeline generates adversarial samples which are robust to the environmental conditions and noisy image transformations present in the physical world. We ensure this by including a variety of possible image transformations in the optimization problem used to generate adversarial samples. We verify the robustness of the adversarial samples by printing them out and carrying out drive-by tests simulating the conditions under which image capture would occur in a real-world scenario. We experimented with physical attack samples for different distances, lighting conditions, and camera angles. In addition, extensive evaluations were carried out in the virtual setting for a variety of image transformations. The adversarial samples generated using our method have adversarial success rates in excess of 95% in the physical as well as virtual settings.
signs  road-safety  roads  traffic  self-driving-cars  cars  avs  security  machine-learning  computer-vision  ai 
10 days ago by jm
Volvo says horrible 'self-parking car accident' happened because driver didn't have 'pedestrian detection'
Grim meathook future, courtesy of Volvo:
“The Volvo XC60 comes with City Safety as a standard feature however this does not include the Pedestrian detection functionality [...] The pedestrian detection feature [...] costs approximately $3,000.


However, there's another lesson here, in crappy car UX and the risks thereof:
But even if it did have the feature, Larsson says the driver would have interfered with it by the way they were driving and “accelerating heavily towards the people in the video.” “The pedestrian detection would likely have been inactivated due to the driver inactivating it by intentionally and actively accelerating,” said Larsson. “Hence, the auto braking function is overrided by the driver and deactivated.” Meanwhile, the people in the video seem to ignore their instincts and trust that the car assumed to be endowed with artificial intelligence knows not to hurt them. It is a sign of our incredible faith in the power of technology, but also, it’s a reminder that companies making AI-assisted vehicles need to make safety features standard and communicate clearly when they aren’t.
self-driving-cars  cars  ai  pedestrian  computer-vision  volvo  fail  accidents  grim-meathook-future 
may 2015 by jm
Why the New Aesthetic isn’t about 8bit retro, the Robot Readable World, computer vision and pirates |
'The New Aesthetics, or at least the aspect I’m looking at, is inspired by computer vision. And computer vision is at the point now that computer graphics was at 30 years ago. The New Aesthetics isn’t concerned with retro 8bit graphics of the past, but the 8bit graphics designed for machines of the now.' -- ie, The Robot Readable World, etc. Great essay, and exciting stuff
art  design  new-aesthetic  retro  robotics  graphics  computer-vision 
april 2012 by jm

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