Facial-recognition.docx

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1、Facial recognitionNowhere to hideFacial recognition is not just another technology. It will change societyTHE human face is a remarkable piece of work. The astonishing variety of facial features helps people recognise each other and is crucial to the formation of complex societies. So is the faces a

2、bility to send emotional signals, whether through an involuntary blush or the artifice of a false smile. People spend much of their waking lives, in the office and the courtroom as well as the bar and the bedroom, reading faces, for signs of attraction, hostility, trust and deceit. They also spend p

3、lenty of time trying to dissimulate.Technology is rapidly catching up with the human ability to read faces. In America facial recognition is used by churches to track worshippers attendance; in Britain, by retailers to spot past shoplifters. This year Welsh police used it to arrest a suspect outside

4、 a football game. In China it verifies the identities of ride-hailing drivers, permits tourists to enter attractions and lets people pay for things with a smile. Apples new iPhone is expected to use it to unlock the homescreen.Set against human skills, such applications might seem incremental. Some

5、breakthroughs, such as flight or the internet, obviously transform human abilities; facial recognition seems merely to encode them. Although faces are peculiar to individuals, they are also public, so technology does not, at first sight, intrude on something that is private. And yet the ability to r

6、ecord, store and analyse images of faces cheaply, quickly and on a vast scale promises one day to bring about fundamental changes to notions of privacy, fairness and trust.The final frontierStart with privacy. One big difference between faces and other biometric data, such as fingerprints, is that t

7、hey work at a distance. Anyone with a phone can take a picture for facial-recognition programs to use. FindFace, an app in Russia, compares snaps of strangers with pictures on VKontakte, a social network, and can identify people with a 70% accuracy rate. Facebooks bank of facial images cannot be scr

8、aped by others, but the Silicon Valley giant could obtain pictures of visitors to a car showroom, say, and later use facial recognition to serve them ads for cars. Even if private firms are unable to join the dots between images and identity, the state often can. Chinas government keeps a record of

9、its citizens faces; photographs of half of Americas adult population are stored in databases that can be used by the FBI. Law-enforcement agencies now have a powerful weapon in their ability to track criminals, but at enormous potential cost to citizens privacy.The face is not just a name-tag. It di

10、splays a lot of other informationand machines can read that, too. Again, that promises benefits. Some firms are analysing faces to provide automated diagnoses of rare genetic conditions, such as Hajdu-Cheney syndrome, far earlier than would otherwise be possible. Systems that measure emotion may giv

11、e autistic people a grasp of social signals they find elusive. But the technology also threatens. Researchers at Stanford University have demonstrated that, when shown pictures of one gay man, and one straight man, the algorithm could attribute their sexuality correctly 81% of the time. Humans manag

12、ed only 61%. In countries where homosexuality is a crime, software which promises to infer sexuality from a face is an alarming prospect.Keys, wallet, balaclavaLess violent forms of discrimination could also become common. Employers can already act on their prejudices to deny people a job. But facia

13、l recognition could make such bias routine, enabling firms to filter all job applications for ethnicity and signs of intelligence and sexuality. Nightclubs and sports grounds may face pressure to protect people by scanning entrants faces for the threat of violenceeven though, owing to the nature of

14、machine-learning, all facial-recognition systems inevitably deal in probabilities. Moreover, such systems may be biased against those who do not have white skin, since algorithms trained on data sets of mostly white faces do not work well with different ethnicities. Such biases have cropped up in au

15、tomated assessments used to inform courts decisions about bail and sentencing.Eventually, continuous facial recording and gadgets that paint computerised data onto the real world might change the texture of social interactions. Dissembling helps grease the wheels of daily life. If your partner can s

16、pot every suppressed yawn, and your boss every grimace of irritation, marriages and working relationships will be more truthful, but less harmonious. The basis of social interactions might change, too, from a set of commitments founded on trust to calculations of risk and reward derived from the inf

17、ormation a computer attaches to someones face. Relationships might become more rational, but also more transactional.In democracies, at least, legislation can help alter the balance of good and bad outcomes. European regulators have embedded a set of principles in forthcoming data-protection regulat

18、ion, decreeing that biometric information, which would include “faceprints”, belongs to its owner and that its use requires consentso that, in Europe, unlike America, Facebook could not just sell ads to those car-showroom visitors. Laws against discrimination can be applied to an employer screening

19、candidates images. Suppliers of commercial face-recognition systems might submit to audits, to demonstrate that their systems are not propagating bias unintentionally. Firms that use such technologies should be held accountable.Such rules cannot alter the direction of travel, however. Cameras will o

20、nly become more common with the spread of wearable devices. Efforts to bamboozle facial-recognition systems, from sunglasses to make-up, are already being overtaken; research from the University of Cambridge shows that artificial intelligence can reconstruct the facial structures of people in disgui

21、se. Google has explicitly turned its back on matching faces to identities, for fear of its misuse by undemocratic regimes. Other tech firms seem less picky. Amazon and Microsoft are both using their cloud services to offer face recognition; it is central to Facebooks plans. Governments will not want to forgo its benefits. Change is coming. Face up to it.switch language