Humans look to the power of machine learning to make better and more effective decisions. However, it seems that some algorithms are learning more than just how to recognize patterns - they are being taught how to be as biased as the humans they learn from. Researchers found that a widely used AI characterizes black-sounding names as'unpleasant', which they believe is a result of our own human prejudice hidden in the data it learns from on the World Wide Web. Researchers found that a widely used AI characterizes black-sounding names as'unpleasant', which they believe is a result of our own human prejudice hidden in the data it learns from on the World Wide Web Machine learning has been adopted to make a range of decisions, from approving loans to determining what kind of health insurance, reports Jordan Pearson with Motherboard. A recent example was reported by Pro Publica in May, when an algorithm used by officials in Florida automatically rated a more seasoned white criminal as being a lower risk of committing a future crime, than a black offender with only misdemeanors on her record.

A very, very small quadcopter, one inch in diameter can carry a one- or two-gram shaped charge. You can order them from a drone manufacturer in China. You can program the code to say: "Here are thousands of photographs of the kinds of things I want to target." A one-gram shaped charge can punch a hole in nine millimeters of steel, so presumably you can also punch a hole in someone's head. You can fit about three million of those in a semi-tractor-trailer. You can drive up I-95 with three trucks and have 10 million weapons attacking New York City. They don't have to be very effective, only 5 or 10% of them have to find the target. There will be manufacturers producing millions of these weapons that people will be able to buy just like you can buy guns now, except millions of guns don't matter unless you have a million soldiers. You need only three guys to write the program and launch them. So you can just imagine that in many parts of the world humans will be hunted. They will be cowering underground in shelters and devising techniques so that they don't get detected. This is the ever-present cloud of lethal autonomous weapons. Mary Wareham laughs a lot. It usually sounds the same regardless of the circumstance -- like a mirthful giggle the blonde New Zealander can't suppress -- but it bubbles up at the most varied moments. Wareham laughs when things are funny, she laughs when things are awkward, she laughs when she disagrees with you. And she laughs when things are truly unpleasant, like when you're talking to her about how humanity might soon be annihilated by killer robots and the world is doing nothing to stop it. One afternoon this spring at the United Nations in Geneva, I sat behind Wareham in a large wood-paneled, beige-carpeted assembly room that hosted the Convention on Certain Conventional Weapons (CCW), a group of 121 countries that have signed the agreement to restrict weapons that "are considered to cause unnecessary or unjustifiable suffering to combatants or to affect civilians indiscriminately"-- in other words, weapons humanity deems too cruel to use in war. The UN moves at a glacial pace, but the CCW is even worse.

The skies are about to get substantially more populated with drones. They won't deliver packages to your doorstep anytime soon, but a large menu of other kinds of commercial drone missions will become legal on Monday thanks to new federal rules. The guidelines also make it much simpler to become a commercial drone pilot, lowering the barrier of entry for people and companies to use unmanned aircraft commercially. The U.S. Federal Aviation Administration's new drone regulations limit commercial operations to relatively low-risk scenarios. The aircraft must weigh less than 55 pounds, remain below 400 feet, and cannot fly beyond the operator's visual line of sight, at night, or directly over crowds of people.

There are some exceptions, usually in difficult, high-profile murder cases such as the O.J Simpson trial in 1995. Asking jurors to become fact finders in this way comes with a range problems, from possible biases to the logistical and security challenges. But rapidly progressing technology in imaging, robotics and artificial intelligence may be able to avoid some of these issues. Mehzeb Chowdhury, a PhD Researcher in Forensic Science & Criminal Investigations at Durham University says virtual reality might be the answer. In an article for The Conversation, he takes a look whether we could someday virtually teleport judges and jurors to crime scenes without even leaving the courtroom.

Operational AI systems (for example, self-driving cars) need to obey both the law of the land and our values. We propose AI oversight systems ("AI Guardians") as an approach to addressing this challenge, and to respond to the potential risks associated with increasingly autonomous AI systems.a These AI oversight systems serve to verify that operational systems did not stray unduly from the guidelines of their programmers and to bring them back in compliance if they do stray. The introduction of such second-order, oversight systems is not meant to suggest strict, powerful, or rigid (from here on'strong') controls. Operations systems need a great degree of latitude in order to follow the lessons of their learning from additional data mining and experience and to be able to render at least semi-autonomous decisions (more about this later).

Are we ready for Ultron type intelligence? This is part of our special series on Artificial Intelligence (AI). If you are catching it for the first time I'd recommend that you start here for some instrumental background and here where I start building the bigger idea behind AI. In my high school years, I remember a brilliant classmate, Matthew (not quite his real name), who got the necessary points at Advanced Level to study law at a local university. I was proud to see him not long ago appearing in newspapers as a commanding Intellectual Property (IP) lawyer.

The revelation that a private company has been conducting secret aerial surveillance on behalf of the Baltimore Police Department -- collecting and storing footage from city neighborhoods in the process -- sparked confusion and outrage Wednesday among elected officials and civil liberties advocates. Some demanded an immediate halt to the program pending a full, public accounting of its capabilities and its use in the city to date, including in the prosecution of criminal defendants. Some called it "astounding" in its ability to intrude on individual privacy rights, and legally questionable in terms of constitutional law. Others did not fault the program but said it should have been disclosed publicly before it began in January. The program -- in which Ohio-based Persistent Surveillance Systems has for months been testing sophisticated surveillance cameras aboard a small Cessna airplane flying high above the city -- was first disclosed by Bloomberg Businessweek.

Lieff Cabraser partner Dean M. Harvey will be featured as a distinguished speaker on an Association of Business Trial Lawyers (ABTL) panel titled "Are Computers About to Eat Your Lunch (Or At Least Change the Way You Practice)?" The event will take place on August 30, 2016 at The Four Seasons Hotel in San Francisco. Panelists will discuss how artificial intelligence and technology impact the practice of law, especially with respect to document-intensive business litigation. Since computers prove to be more accurate and efficient than human reviewers when reviewing documents, this panel will cover how technology has changed the way lawyers work and what the future looks like for the legal industry in this heavily digitized world. "Dedicated to promoting a dialogue between the California Bench and Bar on business litigation issues," the Association of Business Trial Lawyers (ABTL) was founded in Los Angeles, California in 1973 to develop a better forum for the discussion of business trials.

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For the homeless, applying for government housing can be a complicated process. Even if they do everything right, housing is not guaranteed. They need a strong case. Depending on the case and lawyer, legal aid for a government housing application (a legal process where lawyers argue for free or low-cost accommodation) can cost between 65 to 200 -- money that applicants don't necessarily have. But with the help of a bot made by 19 year-old British programmer Joshua Browder, the application costs nothing and takes only about 30 seconds.