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This interactive face recognition tool measures your attractiveness, BMI and age
A new interactive documentary "How Normal Am I?" helps reveal the shortcomings of facial recognition technology.
- The website is part of SHERPA, a European Union-funded "project which analyses how AI and big data analytics impact ethics and human rights."
- The interactive documentary uses your webcam to analyze your face, predicting metrics like age, attractiveness, gender, body mass index and life expectancy.
- Despite the shortcomings of facial recognition, there's currently no set of national laws regulating the use of the technology by governments or private companies.
Facial recognition technology has sparked controversy since law enforcement began using it two decades ago. But as facial recognition continues to creep into our public spaces and private devices, there's one fact law enforcement, tech companies and privacy advocates can agree on: the technology isn't perfect.
Sure, facial recognition can identify people with near-perfect accuracy — if the system is fed high-quality images, with good positioning and lighting. But the accuracy rates drop significantly when the systems use photos of people "in the wild," as the Center for Strategic & International Studies recently noted.
Accuracy rates drop even further when facial recognition tries to identify African-American and Asian faces. In January, this deficit ostensibly led to the wrongful arrest of a Detroit man named Robert Julian-Borchak Williams, who was held in jail for 30 hours.
An interactive facial recognition experience
Want to see for yourself how well these systems work? Check out a new interactive mini-documentary called "How Normal Am I?", created by Tijmen Schep, a technology critic and privacy designer.
The documentary is part of SHERPA, a European Union-funded "project which analyses how AI and big data analytics impact ethics and human rights." To experience it, you'll need to grant the website permission to access your webcam, though "no personal data is collected." (You can also access the website and then disconnect your computer from the internet; it should still work fine.)
"How Normal Am I?" uses facial recognition to predict your age, attractiveness, body mass index, life expectancy and gender. Don't get upset if you get a low attractiveness or a high age score: Tilting your head, moving closer to the camera, or just running the program a second time can produce different results.
And that's sort of the point: If facial recognition technology is unreliable on a broad range of measures, to what extent should governments and the private sector be using it? Even if it does become reliable, to what extent should governments be allowed to use it on citizens?
The future of facial recognition technology
In a 2019 Pew Research Center survey, a majority of U.S. respondents said it's acceptable for law enforcement agencies to use facial recognition to scan for threats in public spaces. However, far fewer said it's acceptable for advertisers to use facial recognition to do things like analyze how people respond to commercials in real time.
What could change how facial recognition operates in the U.S. is a set of national laws, which currently don't exist. (Although, some states and cities do regulate the technology.) There are currently more than a dozen bills addressing facial recognition technology, ranging from legislation that would outlaw warrantless usage of facial recognition, to banning federal agencies from using it altogether.
- Amazon is selling facial recognition technology to police - Big Think ›
- How fashion is fighting facial recognition technology - Big Think ›
- AI facial recognition tool causes privacy concerns - Big Think ›
A Mercury-bound spacecraft's noisy flyby of our home planet.
- There is no sound in space, but if there was, this is what it might sound like passing by Earth.
- A spacecraft bound for Mercury recorded data while swinging around our planet, and that data was converted into sound.
- Yes, in space no one can hear you scream, but this is still some chill stuff.
First off, let's be clear what we mean by "hear" here. (Here, here!)
Sound, as we know it, requires air. What our ears capture is actually oscillating waves of fluctuating air pressure. Cilia, fibers in our ears, respond to these fluctuations by firing off corresponding clusters of tones at different pitches to our brains. This is what we perceive as sound.
All of which is to say, sound requires air, and space is notoriously void of that. So, in terms of human-perceivable sound, it's silent out there. Nonetheless, there can be cyclical events in space — such as oscillating values in streams of captured data — that can be mapped to pitches, and thus made audible.
Image source: European Space Agency
The European Space Agency's BepiColombo spacecraft took off from Kourou, French Guyana on October 20, 2019, on its way to Mercury. To reduce its speed for the proper trajectory to Mercury, BepiColombo executed a "gravity-assist flyby," slinging itself around the Earth before leaving home. Over the course of its 34-minute flyby, its two data recorders captured five data sets that Italy's National Institute for Astrophysics (INAF) enhanced and converted into sound waves.
Into and out of Earth's shadow
In April, BepiColombo began its closest approach to Earth, ranging from 256,393 kilometers (159,315 miles) to 129,488 kilometers (80,460 miles) away. The audio above starts as BepiColombo begins to sneak into the Earth's shadow facing away from the sun.
The data was captured by BepiColombo's Italian Spring Accelerometer (ISA) instrument. Says Carmelo Magnafico of the ISA team, "When the spacecraft enters the shadow and the force of the Sun disappears, we can hear a slight vibration. The solar panels, previously flexed by the Sun, then find a new balance. Upon exiting the shadow, we can hear the effect again."
In addition to making for some cool sounds, the phenomenon allowed the ISA team to confirm just how sensitive their instrument is. "This is an extraordinary situation," says Carmelo. "Since we started the cruise, we have only been in direct sunshine, so we did not have the possibility to check effectively whether our instrument is measuring the variations of the force of the sunlight."
When the craft arrives at Mercury, the ISA will be tasked with studying the planets gravity.
The second clip is derived from data captured by BepiColombo's MPO-MAG magnetometer, AKA MERMAG, as the craft traveled through Earth's magnetosphere, the area surrounding the planet that's determined by the its magnetic field.
BepiColombo eventually entered the hellish mangentosheath, the region battered by cosmic plasma from the sun before the craft passed into the relatively peaceful magentopause that marks the transition between the magnetosphere and Earth's own magnetic field.
MERMAG will map Mercury's magnetosphere, as well as the magnetic state of the planet's interior. As a secondary objective, it will assess the interaction of the solar wind, Mercury's magnetic field, and the planet, analyzing the dynamics of the magnetosphere and its interaction with Mercury.
Recording session over, BepiColombo is now slipping through space silently with its arrival at Mercury planned for 2025.
Erin Meyer explains the keeper test and how it can make or break a team.
- There are numerous strategies for building and maintaining a high-performing team, but unfortunately they are not plug-and-play. What works for some companies will not necessarily work for others. Erin Meyer, co-author of No Rules Rules: Netflix and the Culture of Reinvention, shares one alternative employed by one of the largest tech and media services companies in the world.
- Instead of the 'Rank and Yank' method once used by GE, Meyer explains how Netflix managers use the 'keeper test' to determine if employees are crucial pieces of the larger team and are worth fighting to keep.
- "An individual performance problem is a systemic problem that impacts the entire team," she says. This is a valuable lesson that could determine whether the team fails or whether an organization advances to the next level.