The speed at which facial recognition has grown comes down to the rapid development of a type of machine learning known as deep learning..Deep learning uses large tangles of computations—very roughly analogous to the wiring in a biological brain—to recognize patterns in data. It is now able to carry out pattern recognition with jaw-dropping accuracy. The tasks that deep learning excels at include identifying objects, or indeed individual faces, in even poor-quality images and video..The report suggests, for instance, extending the power of existing government bodies in order to regulate AI issues, including use of facial recognition: “Domains like health, education, criminal justice, and welfare all have their own histories, regulatory frameworks, and hazards.” It also calls for stronger consumer protections against misleading claims regarding AI; urges companies to waive trade-secret claims when the accountability of AI systems is at stake (when algorithms are being used to make critical decisions, for example); and asks that they govern themselves more responsibly when it comes to the use of AI..And the document suggests that the public should be warned when facial-recognition systems are being used to track them, and that they should have the right to reject the use of such technology..Facial recognition is being adopted and deployed incredibly quickly. It’s used to unlock Apple’s latest iPhones and enable payments, while Facebook scans millions of photos every day to identify specific users..“It’s time to regulate facial recognition and affect recognition,” says Kate Crawford, a researcher at Microsoft and one of the lead authors of the report.. More details