RAVN Systems, leading experts in Artificial Intelligence, Search and Knowledge Management solutions, announced today the launch of a RAVN ACE powered Robot for LPP (Legal Professional Privilege) review, allowing clients to automate the review of determining if material is subject to LPP. The LPP Robot uses state of the art AI (Artificial Intelligence) techniques to automatically read through vast document collections, such as case material in litigation, as well as other document types, to determine whether individual items are subject to LPP. The accuracy levels achieved by the Robot making these determinations now surpass traditional manual efforts and is several orders of magnitude faster. The solution exploits supervised iterative Machine Learning models inside the RAVN ACE (Applied Cognitive Engine) platform, meaning the Robot will become more accurate over time. It is a technological leap from legacy predictive coding methods that sometimes are used today.

Swiss researchers have completed a study documenting how alcoholic beverages function as a "social lubricant." Was formal research really needed to establish that alcohol "facilitates sexual disinhibition" leading to hook-ups? As if we baby boomers hadn't already made that connection decades ago. Perhaps the researchers weren't familiar with the wisdom (and wit) of mid-20th century poet Ogden Nash, who famously observed, "Candy is dandy, but liquor is quicker." To the editor: How can I get on the research gravy train as illustrated by this study whose "researchers concluded that alcohol's role as a social lubricant can be traced to its ability to facilitate'sexual disinhibition?' " Revelation!

Industry analysts such as Gartner and IDC predict that algorithms – or artificial intelligence (AI) – are the future of business. For lawyers, that will mean creating legal algorithms to automate at least the routine parts of their practices. Starting perhaps with those tasks that are frequently undertaken and are less legally complex. Over time, the complexity will increase as intelligent software becomes more capable. Either way, what we are seeing is the intersection between technologies capable of creating legal algorithms and an Internet capable of distributing services on-line.

When you perform a Google search for every day queries, you don't typically expect systemic racism to rear its ugly head. Yet, if you're a woman searching for a hairstyle, that's exactly what you might find. A simple Google image search for'women's professional hairstyles' returns the following: This is your chance to join them. Here, you'll find hairstyles, generally done in a professional setting by stylists. It returns what it thinks you're looking for based on contextual clues, citations and link data.

California regulators have changed course and opened a pathway for the public to get self-driving cars of the future that lack a steering wheel or pedals. It's not going to happen soon, because automakers and some tech companies are still testing prototypes. But, in a shift, the state's Department of Motor Vehicles said in a revision of draft regulations released late Friday that the most advanced self-driving cars would no longer be required to have a licensed driver if federal officials deem them safe enough. Authorities on Friday released cellphone and surveillance video showing the fatal police shooting of an unarmed black man, hoping to quell growing questions about the incident that has led to violent protests. The video provides more context about the moments before the fatal encounter on Tuesday,... Authorities on Friday released cellphone and surveillance video showing the fatal police shooting of an unarmed black man, hoping to quell growing questions about the incident that has led to violent protests.

At Experian DataLabs in San Diego, a team of scientists is thwarting bad guys with math. A top-five U.S. credit card issuer recently dumped about 6 billion transaction records on Experian DataLabs to see if its machine-learning mathematical formulas could do a better job of rooting out credit card fraud than the bank's existing system. Experian scientists used neuro-embedding/natural language processing techniques to understand the "syntax" of the credit card data, computer scientist Honghao Shan said. "We thought we had figured it out and went back to them," said Eric Haller, head of Experian DataLabs. "They said, 'How did you do that?' … It turns out we reduced their false positives by half."

A simple Google image search for'women's professional hairstyles' returns the following: We're back in New York this November for the 4th edition of our growth-focused technology event. That is, until you try searching for'unprofessional women's hairstyles' and find this: In it, you'll find a hodge-podge of hairstyles sported by black women, all of which seem, well, rather normal. In fact, Boing Boing spotted this back in April. In five years, 10 years, 25 years, you can imagine how much of our lives will be dictated by algorithms.

Brad Pitt and Angelina Jolie have come to a temporary, three-week agreement on custody of their six children, a person familiar with the negotiations said Friday. The deal was voluntary and doesn't reflect any ruling from the court regarding permanent custody, legal or physical, the source said. Both Pitt and Jolie agreed to get individual counseling, the source said, and Pitt offered to submit to drug and alcohol testing, which was not required. The couple agreed that Pitt's first visit with the kids would include a therapist, but there was no requirement for a monitor during subsequent visits. Decision-making for Maddox, 15; Pax, 12; Zahara, 11; Shiloh, 10; and 8-year-old twins Knox and Vivienne will follow a structured plan agreed to by both parents.

ACCORDING to some prominent voices in the tech world, artificial intelligence presents a looming existential threat to humanity: Warnings by luminaries like Elon Musk and Nick Bostrom about "the singularity" -- when machines become smarter than humans -- have attracted millions of dollars and spawned a multitude of conferences. But this hand-wringing is a distraction from the very real problems with artificial intelligence today, which may already be exacerbating inequality in the workplace, at home and in our legal and judicial systems. Sexism, racism and other forms of discrimination are being built into the machine-learning algorithms that underlie the technology behind many "intelligent" systems that shape how we are categorized and advertised to. Take a small example from last year: Users discovered that Google's photo app, which applies automatic labels to pictures in digital photo albums, was classifying images of black people as gorillas. Google apologized; it was unintentional.

When you perform a Google search for every day queries, you don't typically expect systemic racism to rear its ugly head. Yet, if you're a woman searching for a hairstyle, that's exactly what you might find. A simple Google image search for'women's professional hairstyles' returns the following: Here, you'll find hairstyles, generally done in a professional setting by stylists. It returns what it thinks you're looking for based on contextual clues, citations and link data. In general, and without further context, you could probably pat Google on the back and say'job well done.'