American journalist Spencer Ackerman, in collaboration with documentary filmmaker Laura Poitras, just released a document related to the US drone operations leaked by National Security Agency whistleblower, Edward Snowden. The document is an article on Intellipedia, a secretive US data site where the US intelligence agencies share the material they mine on us all across the world. Titled "Targeted Killing: Policy, Legal and Ethical Controversy", the entry reflects Intellipedia's take on the work of many human rights defenders and organisations – including my own – to stop the CIA drone war across the world. Because of my human rights work, I have always assumed that I was being tracked by security agencies. Indeed, when I write an email to my wife, I sometimes add an ironic post-script to their agents apologising for being boring.
THE INSTITUTE Artificial intelligence is transforming the financial services industry. The technology is being used to determine creditworthiness, identify money laundering, and detect fraud. AI also is helping to personalize services and recommend new offerings by developing a better understanding of customers. Chatbots and other AI assistants have made it easier for clients to get answers to their questions, 24/7. Although confidence in financial institutions is high, according to the Banking Exchange, that's not the case with AI.
Applying artificial intelligence to big data can predict – and prevent – crime. When a social media site throws out an ad for a product you were just discussing over the phone, it's easy to jump to conclusions: They must be listening, surely. But the truth is that the site employed artificial intelligence (AI) to predict your behaviour. You searched for a yeast starter last week and commented on a friend's photo of sourdough bread yesterday. The ad for a bread-making course that seemingly pops up out of the blue was shown to you because the data predicted you might be interested in it – based on your own and previous users' behaviour.
Over the past year, the sheer number of Ransomware attacks have increased dramatically, with organizations of all stripes being affected: government entities, educational institutions, healthcare facilities, retailers, and even agricultural groups. While the bulk of the media attention has been on critical infrastructure and large organizations, attackers are not limiting themselves to just those types of victims. "That's really just the tip of the iceberg," says Max Heinemeyer, director of threat hunting at Darktrace. "We see not just big names being hit. It's basically any company where adversaries think they can pay the ransom. Anybody who's got money and running some kind of digital business is basically in the crosshairs."
Whether protecting against surges on electric networks, locating designs amongst previous criminal offenses, or even improving sources in the treatment of significantly bad people, Duke University computer system expert Cynthia Rudin desires expert system (AI) to reveal its own job. When it is actually creating choices that profoundly impact individuals's lifestyles, particularly. " I would like to give thanks to AAAI and also Squirrel AI for making this honor that I understand will definitely be actually a game-changer for the area," Rudin pointed out. "To possess a'Nobel Prize' for artificial intelligence to assist culture creates it ultimately crystal clear undeniably that this subject matter -- AI help the advantage for community -- is really significant." Dark container designs are actually the contrast of Rudin's straightforward codes.
We usually think of surveillance cameras as digital eyes, watching over us or watching out for us, depending on your view. But really, they're more like portholes: useful only when someone is looking through them. Sometimes that means a human watching live footage, usually from multiple video feeds. Most surveillance cameras are passive, however. They're there as a deterrence, or to provide evidence if something goes wrong. But this is changing -- and fast.
AI surveillance is increasing at a rapid pace around the world. The East Asia/Pacific, Americas, and the Middle East/North Africa regions are robust adopters of these tools. Even liberal democracies in Europe have installed automated border controls, predictive policing, "safe cities", and facial recognition systems. China is the biggest supplier of these technologies which can be found in 63 countries. Huawei alone is responsible for providing AI surveillance technology to at least fifty countries and its leadership has strong ties with the Chinese government.
The nanotechnology has become a billionaire industry with multiple potential applications on human beings; however, experimentation in humans is high risk, for that reason, the transnational nanotechnology companies would be resorting to criminal methods like the organized crime to achieve that purpose. Thus, mafias of nanotechnology, “nanomafias”, would being created, mainly in Latin America, which would be multiplying vertiginously due to several factors like the ignorance in society regarding the use of nanotechnology as criminal weapon, the “invisibility” of this mafia for being used as its tool, the wifi, its economic power, the extortion with the Brain net, the silence and participation of the press and the health unions, the media disinformation campaign, its world interconnection, being an organized crime and the possible participation of authorities of the national police, theprosecutor's office and the judiciary, and the intelligence services. Nanomafia aims to become the greatest organized crime network in the world, therefore, the world society shallknow, be alert and report the crimes committed by this nanomafia.
Two Black artists have released a new project asking a provocative question: What if we could predict the next police shooting? With the help and funding of Mozilla, the two artists have released an innovative project called "Future Wake." The interactive website takes on police use of predictive software by doing the reverse: using AI trained on real law enforcement data to predict future police killings. The piece, done by two artists who asked to remain anonymous due to the sensitivity of the piece, features stories about fictional future victims of police violence in Chicago, Houston, Los Angeles, New York and Phoenix. The use of artificial intelligence by police departments in the United States has caused controversy for years.
In its quest to drive the adoption of artificial intelligence (AI) across the country, multi-ethnic Singapore needs to take special care navigating its use in some areas, specifically, law enforcement and crime prevention. It should further foster its belief that trust is crucial for citizens to be comfortable with AI, along with the recognition that doing so will require nurturing public trust across different aspects within its society. It must have been at least two decades ago now when I attended a media briefing, during which an executive was demonstrating the company's latest speech recognition software. As most demos went, no matter how much you prepared for it, things would go desperately wrong. Her voice-directed commands often were wrongly executed and several spoken words in every sentence were inaccurately translated into text.