You are receiving this email as a response to your request for data access. After running the photo provided through our algorithm, no results were found.
You can click here to learn more about how Clearview collects the images that appear as search results, and how those images are used and shared.
Regards,
Clearview Privacy Team
I don’t buy it… and feel like I should try again with a slightly different picture for reference. I was looking forward to reporting them to the ICO, although they never followed up on my houseparty complaint.
Stealing Ur Feelings is an augmented reality experience that reveals how your favorite apps can use facial emotion recognition technology to make decisions about your life, promote inequalities, and even destabilize American democracy. Using the AI techniques described in corporate patents, Stealing Ur Feelings learns your deepest secrets just by analyzing your face.
Uber is now requiring the same good behavior from riders that it has long expected from its drivers. Uber riders have always had ratings, but they were never really at risk of deactivation — until now. Starting today, riders in the U.S. and Canada are now at risk of deactivation if their rating falls significantly below a city’s average.
“Respect is a two-way street, and so is accountability,” Uber Head of Safety Brand and Initiatives Kate Parker wrote in a blog post. “Drivers have long been required to meet a minimum rating threshold which can vary city to city. While we expect only a small number of riders to ultimately be impacted by ratings-based deactivations, it’s the right thing to do.”
For drivers, they face a risk of deactivation if they fall below 4.6, according to leaked documents from 2015. Though, average ratings are city-specific. Uber, however, is not disclosing the average rider rating, but says “any rider at risk of losing access will receive several notifications and opportunities to improve his or her rating,” an Uber spokesperson told TechCrunch.
Airbnb is still telling me off/trying to help with my score of 4.8/5 with 34 Total reviews and 76% 5 star reviews.
Mainly because I don’t accept most people into my flat. There’s no understanding about timing, workload, etc. In the algorithms view, everyone should be maximizing the amount of people using the flat. They keep trying to push auto-booking on me. I expect it will become a requirement one day and I’ll leave Airbnb as its completely unsuitable for me.
Thank you for your prompt response. We confirm that we have deleted from the DiF dataset all the URLs linked to your Flickr ID and associated annotations. We have also deleted your Flickr ID from our records. IBM will require our research partners to comply with your deletion request and provide IBM with confirmation of compliance.
Best regards,
IBM Research DiF team
End of the matter, although part of me wants to contact everybody in the photos and tell them what happened. Not sure what that would achieve however?
Then I got a further 2 replies from IBM. One of them is IBM asking if I want my GDPR data for everything regarding IBM? But the 2nd one is from IBM Diversity in faces project.
Thank you for your response and for providing your Flickr ID. We located 207 URLs in the DiF dataset that are associated with your Flickr ID. Per your request, the list of the 207 URLs is attached to this email (in the file called urls_it.txt). The URLs link to public Flickr images.
For clarity, the DiF dataset is a research initiative, and not a commercial application and it does not contain the images themselves, but URLs such as the ones in the attachment.
Let us know if you would like us to remove these URLs and associated annotations from the DiF dataset. If so, we will confirm when this process has been completed and your Flickr ID has been removed from our records.
Most of the photos are indeed public but there are a few which I can’t find in a public image search. If they are private, then somethings wrong and I’ll be beating IBM over the head with it.
Facial recognition can log you into your iPhone, track criminals through crowds and identify loyal customers in stores.
The technology — which is imperfect but improving rapidly — is based on algorithms that learn how to recognize human faces and the hundreds of ways in which each one is unique.
To do this well, the algorithms must be fed hundreds of thousands of images of a diverse array of faces. Increasingly, those photos are coming from the internet, where they’re swept up by the millions without the knowledge of the people who posted them, categorized by age, gender, skin tone and dozens of other metrics, and shared with researchers at universities and companies.
When I first heard about this story I was annoyed but didn’t think too much about it. Then later down the story, its clear they used creative commons Flickr photos.
“This is the dirty little secret of AI training sets. Researchers often just grab whatever images are available in the wild,” said NYU School of Law professor Jason Schultz.
The latest company to enter this territory was IBM, which in January released a collection of nearly a million photos that were taken from the photo hosting site Flickr and coded to describe the subjects’ appearance. IBM promoted the collection to researchers as a progressive step toward reducing bias in facial recognition.
But some of the photographers whose images were included in IBM’s dataset were surprised and disconcerted when NBC News told them that their photographs had been annotated with details including facial geometry and skin tone and may be used to develop facial recognition algorithms. (NBC News obtained IBM’s dataset from a source after the company declined to share it, saying it could be used only by academic or corporate research groups.)
And then there is a checker to see if your photos were used in the teaching of machines. After typing my username, I found out I have 207 photo(s) in the IBM dataset. This is one of them:
Not my choice of photo, just the one which comes up when using the website
Georg Holzer, uploaded his photos to Flickr to remember great moments with his family and friends, and he used Creative Commons licenses to allow nonprofits and artists to use his photos for free. He did not expect more than 700 of his images to be swept up to study facial recognition technology.
“I know about the harm such a technology can cause,” he said over Skype, after NBC News told him his photos were in IBM’s dataset. “Of course, you can never forget about the good uses of image recognition such as finding family pictures faster, but it can also be used to restrict fundamental rights and privacy. I can never approve or accept the widespread use of such a technology.”
I have a similar view to Georg, I publish almost all my flickr photos under a creative commons non-commercial sharealike licence. I swear this has been broken. I’m also not sure if the pictures are all private or not. But I’m going to find out thanks to GDPR
There may, however, be legal recourse in some jurisdictions thanks to the rise of privacy laws acknowledging the unique value of photos of people’s faces. Under Europe’s General Data Protection Regulation, photos are considered “sensitive personal information” if they are used to confirm an individual’s identity. Residents of Europe who don’t want their data included can ask IBM to delete it. If IBM doesn’t comply, they can complain to their country’s data protection authority, which, if the particular photos fall under the definition of “sensitive personal information,” can levy fines against companies that violate the law.
Expect a GDPR request soon IBM! Anything I can do to send a message I wasn’t happy with this.
First time was from Gregor Žavcer at MyData 2018 in Helsinki. I remember when he started saying if you have no control over your identity you are but a slave (power-phased of course). There was a bit of awe from the audience, including myself. Now to be fair he justified everything he said but I didn’t make note of the references he made, as he was moving quite quickly. I did note down something about no autonomy is data without self.
This looks incredible as we shift closer to the Dweb (I’m thinking there was web 1.0, then web 2.0 and now Dweb, as web 3.0/semantic web didn’t quite take root). There are many questions including service/application support and the difficulty of getting one. This certainly where I agree with Aral about the design of this all, the advantages could be so great but if it takes extremely good technical knowledge to get one, then its going to be stuck on the ground for a long time, regardless of the critical advantages.
I already wrote about TOA Berlin and the different satellite events I also took part in. I remember how tired I was getting to Berlin late and then being on stage early doors with the multiple changes on public transport, I should have just taken a cab really.
No idea what was up with my voice, but it certainly sounds a little odd.
Anyhow lots of interesting ideas were bunched into the slide deck, and certainly caused a number of long conversations afterwards.
Some friends have been debating this and suggested it wasn’t so bad, but its clear that after a few days things were tweaked. Of course Google are one of many who rely on non-diverse training data and likely are coding their biases into the code/algorithms. Because of course getting real diverse training data is expensive and time consuming; I guess in the short term so is building a diverse team in their own eyes?
Anyway here’s what I get when searching for happy families on Friday 2nd June about 10pm BST.
Logged into Google account using Chrome on UbuntuUsing incognito mode and searching for happy families with Chrome on UbuntuSearch for happy families using a russian tor node on Chromium on Ubuntu
