Self-driving software company nuTonomy is teaming up with French automaker Groupe PSA. Boston-based nuTonomy says it plans to install its software and specialized sensors into two Peugeot 3008 SUVs this summer. It will begin testing them on public roads in Singapore in September. The companies plan to expand that test fleet to about a dozen vehicles by the beginning of 2018. Eventually, nuTonomy and Groupe PSA say they could expand testing to other cities worldwide.

Professor Reich comes to Google to discuss the impact of automation & artificial intelligence on our economy. He also provides a recommendation on how we can ensure future technologies benefit the entire economy, not just those at the top.It might be universal basic income or robot taxes. Robert Reich is the Chancellor's Professor of Public Policy at the University of California, Berkeley and Senior Fellow at the Blum Center for Developing Economies. He served as Secretary of Labor in the Clinton administration, for which Time Magazine named him one of the ten most effective cabinet secretaries of the twentieth century. He is also a founding editor of the American Prospect magazine, chairman of Common Cause, a member of the American Academy of Arts and Sciences, co-founder of the nonprofit Inequality Media, and co-creator of the award-winning documentary, Inequality for All.

In my previous blog on artificial intelligence (AI), I dealt with the general characteristics of AI and machine learning. Thanks to complex virtual learning techniques, machines are now able to perform a wide range of physical and cognitive tasks. And the efficiency and accuracy of their work is expected to increase as AI systems advance through machine learning, big data and increased computational power. The benefits are clear, but there are also concerns for the future of human work and employment. If indeed machines continue to improve their performance beyond human levels, a natural question to ask is whether machines will put humans' jobs at risk and reduce employment.

The remarks by Cuban came six days after Twitter reported better-than-expected first-quarter earnings. The social media company has used algorithms to combat user harassment, vowing to prevent abusive behavior and block repeat offenders from the site. They've also used machine learning to tailor ads and tweets to users. Twitter said in its first-quarter earnings release, it "continued to use other machine learning techniques to improve the relevance of notifications, which increased engagement and brought people back to Twitter." In March, Chief Executive Jack Dorsey said the impact of AI on society would be "positive," but he appeared unsure if the U.S. government is ready to deal with the impact.

AI is getting smarter but there are still some simple tricks you can use to flummox computers. Last year, researchers were able to fool a facial recognition system into thinking they were someone else simply by wearing patterned glasses. Whilst the twist and patterns of the printed glasses look random to humans but can confuse computers. AI designed to pick out eyes, noses, mouths and ears can easily mistake the pattern for contours of someone's face. These types of attacks are bracketed within a broad category of AI cybersecurity known as "adversarial machine learning," according to The Verge.

In the future, depending on the company size and business type, many organizations will need to consider adding the role of chief artificial intelligence officer. While a full-time dedicated position might seem to be excessive now, the role of a senior leader who is deeply knowledgeable in the broad domain of artificial intelligence is rapidly becoming critical. The chief AI officer is tasked with providing strategic and tactical guidance and support for exploring AI methodologies. This role would also serve as the evangelist for the process, people and tools that can help achieve real business results with AI or human intelligence augmentation. Since artificial intelligence, and with it machine learning, is a broad and cross-cutting capability, this individual can focus across the landscape, and research and dig deep into the possible advantages and opportunities to aid business objectives.

When science fiction author Isaac Asimov devised his Three Laws of Robotics he was thinking about androids. He envisioned a world where these human-like robots would act like servants and would need a set of programming rules to prevent them from causing harm. But in the 75 years since the publication of the first story to feature his ethical guidelines, there have been significant technological advancements. We now have a very different conception of what robots can look like and how we will interact with them. The highly-evolved field of robotics is producing a huge range of devices, from autonomous vacuum cleaners to military drones to entire factory production lines.

TANYA OTT: The future of artificial intelligence: what we know, what we don't know, and what it all means for you. I'm Tanya Ott, and this is the Press Room, Deloitte University Press's podcast on the issues and ideas that matter to your business today. When you think of artificial intelligence, you probably don't think of this: [sound of hiking through the woods]. It's the South, so it's hot--but the tree cover is helping a bit. This park is part of Red Mountain, here in the rolling foothills of the Appalachians. The trail is dotted with the remnants of 19th-century iron-ore mines. Back in the 1980s, you could walk into any outdoor store and find these big paper green and pink topographical maps. The US Geological Survey, which is part of the Department of Interior, made them. Hikers and hunters and other outdoor enthusiasts used these topo maps to make sure they didn't get lost in the wilderness. But by the 1990s, GPS and other similar technologies started getting broader adoption, and all of a sudden those maps, which had been painstakingly drawn by hand, started being produced on computers using a digital process. Suddenly, lots of cartographers were out of work.

Artificial intelligence can predict Supreme Court decisions better than some experts. "See you in the Supreme Court!" President Donald Trump tweeted last week, responding to lower court holds on his national security policies. But is taking cases all the way to the highest court in the land a good idea? Artificial intelligence may soon have the answer. A new study shows that computers can do a better job than legal scholars at predicting Supreme Court decisions, even with less information.

April 15 is a tax day in the US, when taxes are traditionally due (although because of weekends and holidays they are usually due a couple of days later). In honor of Tax Day, new KDnuggets Cartoon looks at an unexpected white-collar job that may resist automation and Machine Learning. Executive: "The robots have taken over almost all jobs, but we still need Jenkins to cheat on our taxes." This cartoon was ably drawn by Jon Carter. In real-life, robots and AI are learning to lie on par with the best of humans: In January 2017 CMU poker bot Libratus defeated 4 of the world's best professional poker players, and winning in poker requires both bluffing and understanding when the opponent bluffs.