We have been in touch with the Metropolitan Police Department; they told us that they are doing what they can to find those teens,

Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Continued advances promise to produce autonomous systems that will perceive, learn, decide, and act on their own. However, the effectiveness of these systems is limited by the machine's current inability to explain their decisions and actions to human users. The Department of Defense is facing challenges that demand more intelligent, autonomous, and symbiotic systems. Explainable AI--especially explainable machine learning--will be essential if future warfighters are to understand, appropriately trust, and effectively manage an emerging generation of artificially intelligent machine partners.

President Donald Trump might claim that he is a brilliant man with a high intelligence quotient (IQ) but from time to time, critics have questioned his general knowledge and a petition created Thursday on "We the People" demanded the president take a Mensa monitored IQ test. "We the People" allows anybody to create a petition and engage directly with the government with the promise of getting a real response from the White House if it receives enough signatures. The petition targeted the Trump administration's policies and stated: "For whatever reason, telling people how smart he is appears to be very important to him -- and since his presidency thus far has allowed for all types of trivial engagements, he should simply shut down the non believers and have his IQ formally tested." "This would serve to substantiate his claims, and lend credibility to his decision-making skills to bi-partisan US citizens," it asserted. Read: What Do Trump's Hand Gestures Mean?

But artificial intelligence now'thinks' it has the answer. Using deep learning techniques, data scientists from Warwick Business School trained a computer system on 200,000 images from the website Scenic-or-Not, where members of the public vote on how beautiful a British scene is. These include Loch Scavaig on the Isle of Skye... and Newbury Road roundabout. The project was linked to earlier studies by the same team from Warwick's Data Science Lab that showed a direct correlation between residing in a scenic location and good health. If the AI could recognise beauty like a human, city planning for wellbeing could potentially be automated.

Driscoll's is so secretive about its robotic strawberry picker it won't let photographers within telephoto range of it. But if you do get a peek, you won't see anything humanoid or space-aged. AgroBot is still more John Deere than C-3PO -- a boxy contraption moving in fits and starts, with its computer-driven sensors, graspers and cutters missing 1 in 3 berries. Such has been the progress of ag-tech in California, where despite the adoption of drones, iPhone apps and satellite-driven sensors, the hand and knife still harvest the bulk of more than 200 crops. Now, the $47-billion agriculture industry is trying to bring technological innovation up to warp speed before it runs out of low-wage immigrant workers.

At first glance, COMPAS appears fair: White and black defendants given higher risk scores tended to reoffend at roughly the same rate. New laws and better government regulation could be a powerful tool in reforming how companies and government agencies use AI to make decisions. Last year, the European Union passed a law called the General Data Protection Regulation, which includes numerous restrictions on the automated processing of personal data and requires transparency about "the logic involved" in those systems. However, existing federal laws do protect against certain types of discrimination -- particularly in areas like hiring, housing and credit -- though they haven't been updated to address the way new technologies intersect with old prejudices.

Whether it's done consciously or subconsciously, racial discrimination continues to have a serious, measurable impact on the choices our society makes about criminal justice, law enforcement, hiring and financial lending. It might be tempting, then, to feel encouraged as more and more companies and government agencies turn to seemingly dispassionate technologies for help with some of these complicated decisions, which are often influenced by bias. Rather than relying on human judgment alone, organizations are increasingly asking algorithms to weigh in on questions that have profound social ramifications, like whether to recruit someone for a job, give them a loan, identify them as a suspect in a crime, send them to prison or grant them parole. But an increasing body of research and criticism suggests that algorithms and artificial intelligence aren't necessarily a panacea for ending prejudice, and they can have disproportionate impacts on groups that are already socially disadvantaged, particularly people of color. Instead of offering a workaround for human biases, the tools we designed to help us predict the future may be dooming us to repeat the past by replicating and even amplifying societal inequalities that already exist.

The House of Lords Select Committee on artificial intelligence (AI) has called for academia, industry, technologists and the general public to have their say on the ethical, social and economic impact of advances in AI. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered. You have exceeded the maximum character limit.

We expect scary predictions about the technological future from philosophers and science fiction writers, not famous technologists. Elon Musk, though, turns out to have an imagination just as dark as that of Arthur C. Clarke and Stanley Kubrick, who created the sentient and ultimately homicidal computer HAL 9000 in "2001: A Space Odyssey." Musk, the founder of Tesla, SpaceX, HyperLoop, Solar City and other companies, spoke to the National Governors Association last week on a variety of technology topics. When he got to artificial intelligence, the field of programming computers to replace humans in tasks such as decision making and speech recognition, his words turned apocalyptic. He called artificial intelligence, or AI, a "fundamental risk to the existence of human civilization."

As part of CBR's Tech Express series, Editor Ellie Burns sits down with Barry Shteiman from Exabeam to find out about User and Entity Behaviour Analytics. BS: UEBA stands for User and Entity Behaviour Analytics and it's an analytics-led threat detection technology. UEBA uses machine learning and data science to gain an understanding of how Users (humans) and Entities (machines) within an environment typically behave. As every IT environment is an interconnected web of humans and machines, UEBA helps to identify normal and abnormal behavior for both groups to provide complete visibility. Then, by looking for risky, anomalous activity that deviates from normal behaviour, UEBA helps identify cyber threats.