hownormalami-eu

TOGGLE DEBUG (this is not part of it) HOW NORMAL AM I STILL? Experience how "artificial intelligence" judges your face Access to your camera is necessary, but no personal data is collected. I agree to the terms and conditions Start the show › On iPhone and iPad this experience only works in the Safari browser. Apple doesn't allow other browsers to access the camera. Created with support from the European Union Terms and conditions Wow, you deciced to read the terms and conditions first. You rock!! This is an art project by Tijmen Schep that shows how face detection algoritms are increasingly used to judge you. It was made as part of the European Union's Sherpa research program. No personal data is sent to our server in any way. Nothing. Zilch. Nada. All the face detection algorithms will run on your own computer, in the browser. In this 'test' your face is compared with that of all the other people who came before you. At the end of the show you can, if you want to, share some anonimized data. That will then be used to re-calculate the new average. That anonymous data is not shared any further. You can also read more about the sources and source code that this project is based on, or read the press release. Start the show › Unable to access camera :-( PlaySkip It seems the page couldn't acess your camera. You won't be able to experience the show, sorry. You could try using a different browser? Heating up the algorithms... You Others Read terms? No Yes (395408069%) Shared age? No No Beauty ... ... Age ... ... Lied about age? No ... Gender ... ... BMI ... ... Life expectancy ... ... Came closer? No ... Expression ... ... Interactions ... ... Curious Yes No Shared data? ... ... May I ask how old you are? 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 Highest beauty score On a scale from 0 to 10 Tip: Change your distance to the camera, and remove glasses. You are more attractive than ...% of the Spice Girls. BMI analysis Tip: raise your eyebrows. The average BMI in ... is ... Lowest age prediction Current predicted age: You didn't lie about your age. Gender The algorithm is % sure that you're not a . Your face print This is a digital 'finger print' of your face. Interactions ... (+) You switched to another tab 0 times. Easily distracted? The purple mouse pointer is replaying how you moved your mouse during the previous 20 seconds. Your reaction to the doggy was: ... The dominant expression on your face is currently: .... Life expectancy You have ... years left to live. Before your score is revealed... Will you allow the anonymous data in the list above to be used to calculate a new average? It will shift what this test considers to be 'normal' in your direction.OK No You are... #hownormalami These are privacy friendly sharing buttons. This website does not contain any third party tracking. How Normal Am I was made possible with support from the European Union through the Sherpa project. The Dutch version was made possible by the Province of South Holland through the Unfreezing Freedom project, which was initiated by the Rotterdam University of Applied Sciences. How Normal Am I was developed by Tijmen Schep. Check out the references and sources or the press release with images. If you enjoyed this, you might enjoy AreYouYou.eu, a game where you can try to fool a face recognition system. Sources Language Use This project purposefully avoids using the word "Artificial Intelligence", since there is nothing intelligent about these systems. I prefer to use the terms "machine learning" or "statistics on steroids", but I've settled on algorithms here. Machine Learning models Almost all the machine learning models used were downloaded "pre-trained" from open source projects I found on Github. This was done to make a point: we often say we should improve biased and/or error-prone machine learning models, but the reality is that most organisations don't train their own models. Instead, they use third parties that supply machine learning services, and it's in the interest of these parties to keep their systems as generic and "one size fits all" as possible. And then you have the parties who just implement whatever they can get their hands on, and hope nobody asks difficult questions. The beauty scoring model was found on Github (this or this one). The models to predict age, gender and facial expression/emotion are part of FaceApiJS, which forms the backbone of this project. Do note that its developer doesn't fully divulge on which photos the models were trained. Also, FaceApiJS is bad at detecting "Asian guys". I actually trained the BMI prediction algorithm myself because I couldn't find any existing models that were small enough to use online. I downloaded all the BMI prediction projects I could find on Github, and was astonished to find some of them came with vast troves of photographs. I felt firty using them, but also felt that revealing what was going on was more important. I've documented some of the dodgy things I discovered along the way in this blogpost. Videos, screenshots and other visual material The videos were mainly constructed out of public domain source material from pexels.com and Pixabay.com. To the photographers who so kindly shared their work: thank you all for your wonderful generosity! Other direct sources were used under the artistic, journalistic and educational copyright exception. Specific sources Attractiveness TikTok (front page, recorded with a screen recorder). Their practise of showing content from beautiful people is explained here. While I couldn't confirm if TikTok does this algorithmically, Tinder actually has been on the record about this practice. This academic research was the source of the beauty judgement interface. Another source was the SCUT-FCB dataset. Age Innovatrix offers surveillance systems that analyse the demographics of store visitors. The picture was downloaded form their website. Tinder (front page, screenshot). Gender Check out This article if you want to understand why an algorithm that tries to sort people into just two categories can upset some people. Body Mass Index (BMI) The BMI prediction project that was created by researchers who work at Google can be found here (not anymore, they deleted it!). Although all signs point to this project being a part of Google's practise, I sent an email to the makers to verify this, and got a quick response that it was a personal project. I then changed the video to say "researchers who work at Google" intead of "Google's health lab in India". For more juicy details I refer you to the in-depth blogpost mentioned earlier. Life expectancy There are a lof of projects on Github that explore this idea, some of them as part of (Kaggle) contests set-up by the insurance industry. After exploring how these worked, I created my own wishy-washy implementation. There is no machine learning involved here, it's just a lookup in a table of life expectancies per country, the average BMI in that country, and then a calculation on how BMI might affect that. There is very little merit in this calculation, but then again that doesn't seem to be a requirement for calling yourself a data scientist. Closer / Face print Deepcamai.com is no longer online, perhaps it was removed after the scandal around Rite Aid. It can still be found using the Internet Archive's wayback machine. The Chinese parent company Deepcam has a Chinese website. There is also an Australian website. Wait, it turns out the USA company has rebranded itself to PDActive. The website is virtually identical to the old deepcamai.com website. The visual effect that shows how the video feed is first turned into a mathematical representation based on contrast is built using HOG descriptor. The code was modified to work in the browser. Emotions Hirevue. "Emotion AI researchers say overblown claims give their work a bad name" Surfing behaviour Visual Website Optimizer - Video source HotJar. Learn more about the screen recording feature here. Mouse movement was recorded using a small script called Wix client recorder (MIT license). As always, this runs in your own browser - the recording never leaves your computer, and will be gone as soon as you close the browser window. Tip: you can protect yourself from these practices by installing browser addons such as uBlock Origin and uMatrix. Also check out Privacy Badger, HTTPS Everywhere, and Decentraleyes. Conclusion Jon Penney researched how Wikipedia was used after the Snowden revelations, and noticed that pages about sensitive topics such as terrorism were visited less. Later research strengthened the notion that this was caused by self-censorship. You may also enjoy the follow-up game I made: AreYouYou.eu. EU funded This project has received funding from the European Union’s Horizon 2020 research and innovation programme, under grant agreement No 786641. --- How Normal Am I - PRESS RELEASE Amsterdam - A new interactive documentary called "How Normal Am I" let's you experience how AI judges your face.It reveals how algorithms that score us on beauty, age, gender, emotion, body mass index, and even life expectancy are increasingly finding their way into society. Tinder, for example, uses these beauty scores to match people who are about equally attractive, while predicting your BMI from just a photo is used in the health insurance industry. By giving access to your webcam you can also experience how these AI systems rate your own face. To protect your privacy the AI models were modified so that they can run in the browser. All the analysis happens on your own device, and no personal data is sent to the cloud. The documentary’s maker and host, Dutch artist Tijmen Schep, hopes the project will help society question the reliability of these systems. For example, the age prediction AI can be manipulated my moving your face up and down, your beauty score may go up if you turn up the lights, and if you want to get a lower BMI score, all you need to do is raise your eyebrows. Besides being easy to manipulate, their biases are also revealed. The beauty scoring algorithm was trained on photos that were given beauty scores by Chinese students. This has given it a Chinese sensibility when it comes to what it deems attractive. If you give permission to do so, then some anonymous statistics can be shared at the end of the documentary. Your anonymous scores are then used to compare you to all the people who have already experienced the documentary. This is more true to reality, Schep explains, as these AI systems are increasingly used to rank us in relation to others. Schep worries that In the long run these profiling systems may incentivise us to be as average as possible. The project was made possible with support from the European Union. Schep is the artist in residence with Sherpa, a European research project that is tasked with pointing out the most serious issues AI could create by 2025. Try it yourself at www.HowNormalAmI.eu Contact details TIJMEN SCHEP Artist, technology critic and privacy designer info@tijmenschep.com https://www.tijmenschep.com SHERPA https://www.project-sherpa.eu/ https://www.sherpapieces.eu Imagery These may be used without attribution: Videos Here are some higher quality videos you are free to use for purposes of informing the public as long as you annotate them with the website's URL (hownormalami.eu): Intro video ("So, let's talk about your face ...") Gender video ("... This algorithm would probably flip out at the gay pride") Lifespan video ("By connecting to this website you also shared your IP address ...") End video ("As you probably realise, your data is increasingly collected and combined ...") Logos and such The following portrait may be used if the photographer is mentioned: CC BY Giorgos Gripeos (Tijmen Schep, 1981) Sherpa logos: The data and information provided by this website may not be used for any kind of algorithmic processing, including machine learning training or creating derived or inferred data. --- How Normal Am I - PRESS RELEASE Amsterdam - A new interactive documentary called "How Normal Am I" let's you experience how AI judges your face.It reveals how algorithms that score us on beauty, age, gender, emotion, body mass index, and even life expectancy are increasingly finding their way into society. Tinder, for example, uses these beauty scores to match people who are about equally attractive, while predicting your BMI from just a photo is used in the health insurance industry. By giving access to your webcam you can also experience how these AI systems rate your own face. To protect your privacy the AI models were modified so that they can run in the browser. All the analysis happens on your own device, and no personal data is sent to the cloud. The documentary’s maker and host, Dutch artist Tijmen Schep, hopes the project will help society question the reliability of these systems. For example, the age prediction AI can be manipulated my moving your face up and down, your beauty score may go up if you turn up the lights, and if you want to get a lower BMI score, all you need to do is raise your eyebrows. Besides being easy to manipulate, their biases are also revealed. The beauty scoring algorithm was trained on photos that were given beauty scores by Chinese students. This has given it a Chinese sensibility when it comes to what it deems attractive. If you give permission to do so, then some anonymous statistics can be shared at the end of the documentary. Your anonymous scores are then used to compare you to all the people who have already experienced the documentary. This is more true to reality, Schep explains, as these AI systems are increasingly used to rank us in relation to others. Schep worries that In the long run these profiling systems may incentivise us to be as average as possible. The project was made possible with support from the European Union. Schep is the artist in residence with Sherpa, a European research project that is tasked with pointing out the most serious issues AI could create by 2025. Try it yourself at www.HowNormalAmI.eu Contact details TIJMEN SCHEP Artist, technology critic and privacy designer info@tijmenschep.com https://www.tijmenschep.com SHERPA https://www.project-sherpa.eu/ https://www.sherpapieces.eu Imagery These may be used without attribution: Videos Here are some higher quality videos you are free to use for purposes of informing the public as long as you annotate them with the website's URL (hownormalami.eu): Intro video ("So, let's talk about your face ...") Gender video ("... This algorithm would probably flip out at the gay pride") Lifespan video ("By connecting to this website you also shared your IP address ...") End video ("As you probably realise, your data is increasingly collected and combined ...") Logos and such The following portrait may be used if the photographer is mentioned: CC BY Giorgos Gripeos (Tijmen Schep, 1981) Sherpa logos: The data and information provided by this website may not be used for any kind of algorithmic processing, including machine learning training or creating derived or inferred data.