To really understand the impact of artificial intelligence in the modern world, it's best to think beyond the mega-research projects like those that helped Google recognize cats in photos. According to professor Ajay Agrawal of the University of Toronto, humanity should be pondering how the ability of cutting edge A.I. techniques like deep learning--which has boosted the ability for computers to recognize patterns in enormous loads of data--could reshape the global economy. Making his comments at the Machine Learning and the Market for Intelligence conference this week by the Rotman School of Management at the University of Toronto, Agrawal likened the current boom of A.I. to 1995, when the Internet went mainstream. Gaining enough mainstream traction, the Internet ceased to be seen as a new technology. Instead, it was a new economy where businesses could emerge online.

A yet-to-be-released Segway Ninebot personal transportation robot is seen onstage during the Intel keynote address at the Consumer Electronics Show in Las Vegas. Editor's Note: Economist Dean Baker is the author of the new book, "Rigged: How Globalization and the Rules of the Modern Economy Were Structured to Make the Rich Richer." There is a recurring concern in discussions about the economy that technology threatens the livelihood of large segments of the workforce. In one version, the robots will take all the jobs, leading to a massive surge in unemployment. A somewhat different version has the development of technology benefiting people with college and advanced degrees to the detriment of those with less education.

A group of researchers from the University College London (UCL), University of Sheffield, and University of Pennsylvania, created an Artificial Intelligence system to judge 584 human rights cases and had released its findings recently. The cases analyzed by the AI method were previously heard at the European Court of Human Rights (ECHR) and were equally divided into violation and non-violation cases to prevent bias. European Court of Human Rights in Strasbourg, France (Image Credit: ECHR) So how did the AI judge perform? Basing its judgment on the case text, the AI judge managed to predict the decisions on the cases with 79% accuracy. That means, it concurred with the decisions of human judges 8 out of 10 times.

Artificial intelligence has become one of the hottest trends in Big Law, with a number of major U.S. and international law firms starting to use machine… YOUR COMPLIMENTARY 15-DAY LAW.COM TRIAL HAS ENDED. To continue reading, upgrade and become a Law.com Get 2 MONTHS FREE when you sign up for a 12 month subscription.

The use of drones with cameras will now require a license under Sweden's surveillance laws. The use of drones with cameras will now require a license under Sweden's surveillance laws (stock image) Japan also tightened its rules on drone used in 2015, after a drone carrying radioactive materials was landed on the roof of the Japanese Prime Minister's house The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline. By posting your comment you agree to our house rules.

Should judges begin to feel fearful for their job security? According to a team of researchers, a new AI tool has been found to be highly accurate at predicting the outcome of European court cases. An AI judge that computes outcomes instead of a human jury has been the dystopian creation of science fiction writers for a number of years, but new developments suggest that they could be used in some capacity in future courts. According to University College London, a joint team of researchers from the US and the UK has developed a new AI method that is the first to predict the outcomes of a major international court, by automatically analysing case text using a machine-learning algorithm. The international court in this case is the European Court of Human Rights (ECtHR), and by churning the data obtained during these court cases from the cases brought by defendants and prosecutors, the AI was able to predict their outcomes 79pc of the time.

Using Artificial intelligence (AI) or machine learning technology, a team of researchers has predicted outcomes in judicial decisions at the European Court of Human Rights (EctHR) with 79 per cent accuracy. The AI method, developed by researchers from University College London (UCL), University of Sheffield and US-based University of Pennsylvania is the first to predict the outcomes of a major international court by automatically analysing case text using a machine learning algorithm. "We don't see AI replacing judges or lawyers but we think they will find it useful for rapidly identifying patterns in cases that lead to certain outcomes," said Nikolaos Aletras, who led the study at UCL's computer science department. "It could also be a valuable tool for highlighting which cases are most likely to be violations of the European Convention on Human Rights," Aletras added. In developing the method, the team found that judgements by the ECtHR are highly correlated to non-legal facts rather than directly legal arguments, suggesting that judges of the Court are'realists' rather than'formalists'.

Researchers were able to predict the results of human rights cases with 79 percent accuracy by using artificial intelligence to analyze the factual sections of published human rights judgments. The study, published in PeerJ Computer Science, found that the outcomes were best predicted by analyzing the "circumstances" section of a case--which includes factual background--along with the topics covered by the case and the language used, according to a press release. Publications covering the findings include the Wall Street Journal Law Blog, Law.com The researchers examined 584 cases before the European Court of Human Rights with a machine-learning algorithm. They found that the court's judgments were highly correlated to facts rather than legal arguments.

Before you ever see a package dropped onto your doorstep from the sky, drones are going to force us to wrestle with some thorny questions about privacy. New rules from the U.S. Federal Aviation Administration for the commercial use of unmanned aircraft lighter than 55 pounds have opened the door to what could be a massive industry. It's much bigger than delivery drones, which are not yet practical or legal in the U.S. First we'll see more drones doing things like surveying real estate and inspecting infrastructure such as roofs, high bridges, cell towers, power lines, and wind turbines. But our new drone reality has privacy advocates spooked: low-cost vehicles and sensors are likely to spur widespread adoption of a technology that can be used for persistent aerial surveillance, and bad actors could exploit gaps in existing privacy laws. It's also not clear which government entities, if any, are responsible for addressing drone-related privacy concerns.

A team of computer scientists and legal professionals has created artificial intelligence with the ability to accurately predict the outcome of 79 percent of cases decided upon by the European Court of Human Rights. The performance of the artificial intelligence was published Monday by PeerJ Computer Science. Text from European Court of Human Rights cases was used to train a machine learning algorithm to find patterns in case text. The predictive model is made possible by advancements in natural language processing and machine learning, the analysis said. "We don't see AI replacing judges or lawyers, but we think they'd find it useful for rapidly identifying patterns in cases that lead to certain outcomes. It could also be a valuable tool for highlighting which cases are most likely to be violations of the European Convention on Human Rights," said lead scientist Nikolaos Aletras in a statement by University College London.