Apple will let you unlock the iPhone X with your face - a move likely to bring facial recognition to the masses. But along with the roll out of the technology, are concerns over how it could be used. Despite Apple's safeguards, privacy activists fear the widespread use of facial recognition would'normalise' the technology. This could open the door to broader use by law enforcement, marketers or others of a largely unregulated tool, creating a'surveillance technology that is abused'. Facial recognition could open the door to broader use by law enforcement, marketers or others of a largely unregulated tool, creating a'surveillance technology that is abused', experts have warned.
Apple's new facial recognition software to unlock their new iPhone X has raised questions about privacy and the susceptibility of the technology to hacking attacks. Apple's iPhone X is set to go on sale on Nov. 3. The world waits with bated breath as Apple plans on releasing a slew of new features including a facial scan. The new device can be unlocked with face recognition software wherein a user would be able to look at the phone to unlock it. This convenient new technology is set to replace numeric and pattern locks and comes with a number of privacy safeguards.
WASHINGTON – Apple will let you unlock the iPhone X with your face -- a move likely to bring facial recognition to the masses, along with concerns over how the technology may be used for nefarious purposes. Apple's newest device, set to go on sale on Friday, is designed to be unlocked with a facial scan with a number of privacy safeguards -- as the data will only be stored on the phone and not in any databases. Unlocking one's phone with a face scan may offer added convenience and security for iPhone users, according to Apple, which claims its "neural engine" for FaceID cannot be tricked by a photo or hacker. While other devices have offered facial recognition, Apple is the first to pack the technology allowing for a three-dimensional scan into a hand-held phone. But despite Apple's safeguards, privacy activists fear the widespread use of facial recognition would "normalize" the technology and open the door to broader use by law enforcement, marketers or others of a largely unregulated tool.
In an apparently separate case, a student who attended the Mashrou' Leila concert was arrested hours later after being "caught in the act," the police said. Homosexuality is not illegal in Egypt, but the authorities frequently prosecute gay men for homosexuality and women for prostitution under loosely-worded laws that prohibit immorality and "habitual debauchery." The Arab Spring ushered in a brief period of respite, with a sharp rise in the use of dating apps as gay people socialized openly at parties and in bars. On Monday a court convicted Khaled Ali, a lawyer and opposition figure, for making an obscene finger gesture outside a Cairo courthouse last year after he and other lawyers won a case against the government.
The underlying API used to determine "toxicity" scores phrases like "I am a gay black woman" as 87 percent toxicity, and phrases like "I am a man" as the least toxic. To broadly determine what is and isn't toxic, Disqus uses the Perspective API--software from Alphabet's Jigsaw division that plugs into its system. Pasting her "Dear white people" into Perspective's API got a score of 61 percent toxicity. It's possible that the tool is seeking out comments with terms like black, gay, and woman as high potential for being abusive or negative, but that would make Perspective an expensive, overkill wrapper for the equivalent of using Command-F to demonize words that some people might find upsetting.
And since we're on the car insurance subject, minorities pay morefor car insurance than white people in similarly risky neighborhoods. If we don't put in place reliable, actionable, and accessible solutions to approach bias in data science, these type of usually unintentional discrimination will become more and more normal, opposing a society and institutions that on the human side are trying their best to evolve past bias, and move forward in history as a global community. Last but definitely not least, there's a specific bias and discrimination section, preventing organizations from using data which might promote bias such as race, gender, religious or political beliefs, health status, and more, to make automated decisions (except some verified exceptions). It's time to make that training broader, and teach all people involved about the ways their decisions while building tools may affect minorities, and accompany that with the relevant technical knowledge to prevent it from happening.
When asked to make his picture'hot' the app lightened his skin and changed the shape of his nose The app's creators claim it will'transform your face using Artificial Intelligence', allowing selfie-takers to transform their photos Earlier this year people accused the popular photo editing app Meitu of being racist. Earlier this year people accused the popular photo editing app Meitu of giving users'yellow face'. Earlier this year people accused the popular photo editing app Meitu of giving users'yellow face'. Twitter user Vaughan posted a picture of Kanye West with a filter applied, along with the caption: 'So Meitu's pretty racist'
FaceApp has removed a number of racially themed photo filters after being accused of racism. The app, which uses artificial intelligence to edit pictures, this week launched a number of "ethnicity change filters". FaceApp has attracted fierce criticism for launching the filters, with some users claiming they were racist, and encouraged users to "black up" digitally. Responding to the backlash, FaceApp founder and CEO, Yaroslav Goncharov, said, "The ethnicity change filters have been designed to be equal in all aspects.
Last year, Lum and a co-author showed that PredPol, a program for police departments that predicts hotspots where future crime might occur, could potentially get stuck in a feedback loop of over-policing majority black and brown neighbourhoods. Programs developed by companies at the forefront of AI research have resulted in a string of errors that look uncannily like the darker biases of humanity: a Google image recognition program labelled the faces of several black people as gorillas; a LinkedIn advertising program showed a preference for male names in searches, and a Microsoft chatbot called Tay spent a day learning from Twitter and began spouting antisemitic messages. Lum and her co-author took PredPol – the program that suggests the likely location of future crimes based on recent crime and arrest statistics – and fed it historical drug-crime data from the city of Oakland's police department. As if that wasn't bad enough, the researchers also simulated what would happen if police had acted directly on PredPol's hotspots every day and increased their arrests accordingly: the program entered a feedback loop, predicting more and more crime in the neighbourhoods that police visited most.
The 28-year-old journalist and author of The Internet of Garbage, a book on spam and online harassment, had been watching Bernie Sanders boosters attacking feminists and supporters of the Black Lives Matter movement. Now a small subsidiary of Google named Jigsaw is about to release an entirely new type of response: a set of tools called Conversation AI. Jigsaw is applying artificial intelligence to solve the very human problem of making people be nicer on the Internet. If it can find a path through that free-speech paradox, Jigsaw will have pulled off an unlikely coup: applying artificial intelligence to solve the very human problem of making people be nicer on the Internet.