After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?
Hundreds of law enforcement agencies across the US have started using a new facial recognition system from Clearview AI, a new investigation by The New York Times has revealed. The database is made up of billions of images scraped from millions of sites including Facebook, YouTube, and Venmo. The Times says that Clearview AI's work could "end privacy as we know it," and the piece is well worth a read in its entirety. The use of facial recognition systems by police is already a growing concern, but the scale of Clearview AI's database, not to mention the methods it used to assemble it, is particularly troubling. The Clearview system is built upon a database of over three billion images scraped from the internet, a process which may have violated websites' terms of service.
HR leaders predict how cultural, social, and technological shifts will impact the way people work in the coming year. Not too long ago, HR professionals were relegated to the realm of "personnel management"--paper-pushers responsible for administrative tasks and little else. But as organizations have grown and globalized in increasingly challenging environments, so has the role of human resources. Today's HR departments are deeply rooted in organizational planning and business strategy, more essential to the success of a company than ever before. HR leaders have made their way to the C-suite, guiding strategies that unite the goals of a business under one umbrella: talent.
Since its invention in 1970, email has undergone very little changes. Its ease of use has made it the most common method of business communication, used by 3.7 billion users worldwide. Simultaneously, it has become the most targeted intrusion point for cybercriminals, with devastating outcomes. When initially envisioned, email was built for connectivity. Network communication was in its early days, and merely creating a digital alternative for mailboxes was revolutionary and difficult enough.
Three police officers were assaulted and six juveniles were arrested after multiple fights broke out at a Mesa skate rink on Saturday night, authorities said. Weekend wrap-up: Here are the biggest Arizona stories from Jan. 3-5 Blowback: Iran abandons nuclear limits after US killing Luxury garage storage company bringing 2 new locations to the Valley Weinstein's reckoning: Trial looms 2 years after #MeToo wave Valley eye surgeon faces multiple charges for alleged billing scheme Weekend wrap-up: Here are the biggest Arizona stories from Jan. 3-5 Counting whales from space pitched as key to saving them Iraq's Parliament calls for expulsion of U.S. troops Tips on how to create, manage your budget in the new year Iraq's Parliament calls for expulsion of U.S. troops Iraq's Parliament calls for expulsion of U.S. troops Arizona ex-fire chief pleads guilty to theft charges A former fire chief accused of embezzling $40,000 from his Arizona district pleaded guilty to felony charges of theft. Valley doctor says soot from candles can be harmful to your health Candles smell good but they're not all that great for your health for one specific reason, according to one Valley doctor. Phoenix lab uses artificial intelligence to slow, manage Alzheimer's disease Arizona is projected to have one of the fastest growing rates of Alzheimer's disease in the country over the next few years, and a clinical lab testing company in the Valley is trying to reverse that. '1917,' 'Once Upon a Time ...in Hollywood' win Golden Globes See winners from the 2020 Golden Globes, hosted by Ricky Gervais.
Since the Me Too movement came to prominence in late 2017, more and more attention is paid to incidents of sexual harassment, including workplace harassment and harassment through email or instant messaging. As reported by The Guardian, AI researchers and engineers have been creating tools to detect harassment through text communications, dubbed MeTooBots. MeTooBots are being implemented by companies around the world in order to flag potentially harmful and harassing communications. One example of this is a bot created by the company Nex AI, which is currently being used by around 50 different companies. The bot utilizes an algorithm that examines company documents, chat and emails and compares it to its training data of bullying or harassing messages.
Artificial intelligence programmers are developing bots that can identify digital bullying and sexual harassment. Known as "#MeTooBots" after the high-profile movement that arose after allegations against the Hollywood producer Harvey Weinstein, the bots can monitor and flag communications between colleagues and are being introduced by companies around the world. Bot-makers say it is not easy to teach computers what harassment looks like, with its linguistic subtleties and grey lines. Jay Leib, the chief executive of the Chicago-based AI firm NexLP, said: "I wasn't aware of all the forms of harassment. I thought it was just talking dirty. It comes in so many different ways. It might be 15 messages … it could be racy photos."
The challenge is open for applications and starts on January 9th, 2020. Sexual abuse in the workplace is unwelcome sexual behaviour, which could be expected to make a person feel offended, humiliated or intimidated. It can be physical, verbal or written. Sexual abuse is not consensual interaction, flirtation or friendship. Sexual abuse is covered in the workplace when it happens at work, work-related events, or between people sharing the same workplace.
The irony of the ethical scandal enveloping Joichi Ito, the former director of the MIT Media Lab, is that he used to lead academic initiatives on ethics. After the revelation of his financial ties to Jeffrey Epstein, the financier charged with sex trafficking underage girls as young as 14, Ito resigned from multiple roles at MIT, a visiting professorship at Harvard Law School, and the boards of the John D. and Catherine T. MacArthur Foundation, the John S. and James L. Knight Foundation, and the New York Times Company. Many spectators are puzzled by Ito's influential role as an ethicist of artificial intelligence. Indeed, his initiatives were crucial in establishing the discourse of "ethical AI" that is now ubiquitous in academia and in the mainstream press. In 2016, then-President Barack Obama described him as an "expert" on AI and ethics. Since 2017, Ito financed many projects through the $27 million Ethics and Governance of AI Fund, an initiative anchored by the MIT Media Lab and the Berkman Klein Center for Internet and Society at Harvard University.
AI is the new battleground, according to a report released by SophosLabs this week. The 2020 Threat Report highlights a growing battle between cybercriminals and security companies as smart automation technologies continue to evolve. Security companies are using machine learning technology to spot everything from malware to phishing email, but data scientists are figuring out ways to game the system. According to the report, researchers are conceiving new attacks to thwart the AI models used to protect modern networks… attacks which are starting to move from the academic space into attackers' toolkits. One such approach involves adapting malware and emails with extra data that make them seem benign to machine learning systems.