People have been afraid that AI will make humans obsolete since its introduction to the workforce. We began to see AI take over jobs and cause layoffs in certain industries like the automotive industry. Although this only fuelled the anti-AI firestorm, it may have been a mistake. According to current trends, AI seems more likely to create jobs than take over. We keep you informed about current trends in the job marketplace.

More than two dozen artificial intelligence experts from business and academia, including Texas McCombs, explored the importance of understanding how machine learning systems arrive at their conclusions so humans can trust those results. Although AI is more than 50 years old, "deep learning has been a mini-scientific revolution" since the 2010s, said one keynote speaker, Charles Elkan, a professor of computer science at the University of California, San Diego. Alice Xiang, a lawyer and a senior research scientist for Sony Group, said, "I see explainability as an important part of providing transparency and, in turn, enabling accountability." She noted the challenge of black boxes, citing as examples drug-sniffing dogs, whose abilities are mysterious but highly accurate, and the horse Clever Hans, who appeared to understand math but was really following cues from its owner. In a panel discussion called "Adopting AI," James Guszcza, a behavioral research affiliate at Stanford University and chief data scientist on leave from Deloitte LLP, said: "I think one of the previous speakers said we need to be interdisciplinary; I take it a little bit further and say we need to be transdisciplinary."

Close to 10 percent of the U.K.'s workforce -- about 1.5 million workers -- occupy jobs that are at "high risk" of automation. That's according to a study today published by the U.K.'s Office for National Statistics (ONS), which found that of the 19.9 million people the department surveyed in 2017, approximately 7.4 percent could be replaced by autonomous machines in the coming years. ONS forecasts that service workers -- chiefly waiters and waitresses, retail inventory restockers, and entry-level salespeople -- will be disproportionately affected; it reports that 25.3 percent of supermarket checkout jobs disappeared between 2011 and 2017. And it expects agricultural, automotive, and service industries won't fare much better -- they've seen a collective 15 percent decline in the same timeframe. Women, who in 2017 held 70.2

R is a free programming language for data analysis, statistical modeling and visualization. It is one of the most popular tool in predictive modeling world. Its popularity is getting better day by day. In 2016 data science salary survey conducted by O'Reilly, R was ranked second in a category of programming languages for data science (SQL ranked first). In another popular KDnuggets Analytics software survey poll, R scored top rank with 49% vote.

In recent years, the importance of developing targeted strategies to pursue opportunities in the Asia Pacific – that is, 'Asia Strategies' – has come to the forefront of policy discourse.[1] As noted in global strategy advisor Parag Khanna's bestseller, The Future is Asian, Asia is increasingly becoming more prosperous and confident. For Canada, sustained engagement with this region is now critical to the country's long-term economic prosperity. Propelled by its young population and increase in productivity, Asia is predicted to make up 65 per cent of the world's global middle class by 2030 and it is expected to account for 53 per cent of the world's population and 52 per cent of global GDP by 2050. The need for trade diversification and deeper engagement with Asia is clear, but Canada often falls short of the Asia-specific skills, resources, and, most importantly, strategiesthat are required to take advantage of these opportunities.

Chatbots today pop up at websites in smartphone apps; the same technology helps robots, smart speakers, and other machines operate in a more human-like way. The idea of conversing with a computer is nothing new. As far back as the 1960s, a natural language processing program named Eliza matched typed remarks with scripted responses. The software identified key words and responded with phrases that made it seem as though the computer was responding conversationally. Since then, such conversational interfaces--also known as virtual agents--have advanced remarkably due to greater processing power, cloud computing, and ongoing improvements in artificial intelligence (AI) and machine learning.

More than 60 percent of the public and 54 percent of tech executives think that AI must be regulated to ensure it develops safely. That's according to Edelman's AI Center of Expertise, which compiled survey responses from 1,000 members of the U.S. general population and 300 executives working in technology roles in a new report published today. "Our [2019 Edelman Artificial Intelligence] survey -- explores the issues surrounding AI, from the more obvious positives of improved health care and manufacturing to the countervailing concerns overhanging widespread adoption," said Edelman global technology sector lead Sanjay Nair. "We found both groups are curious about AI, yet there is also substantial uncertainty and worry that AI use could lead to widespread job loss, income inequality, and social isolation." According to Edelman analysts, the general public is warier than top-ranking tech execs when it comes to AI's future impact on the economically disenfranchised.

Artificial intelligence and machine learning promise to radically transform many industries, but they also pose significant risks -- many of which are yet to be discovered, given that the technology is only now beginning to be rolled out in force. There have already been a number of public, and embarrassing, examples of AI gone bad. Microsoft's Tay went from innocent chatbot to a crazed racist in just a day, corrupted by Twitter trolls. Two years ago, Google had to censor image searches for keywords like "gorilla" and "chimp" because it returned photos of African-Americans -- and the problem still hasn't been fully fixed in its Google Photos app. As businesses increasingly embrace AI, the stakes will only get higher.

The code has been copied to your clipboard. Several recent studies examined how machine automation and artificial intelligence (AI) will change the future of work. Some estimates predict these technologies could displace up to 30 percent of workers worldwide by 2030. One study was published by PricewaterhouseCoopers, an international company providing financial and tax services. It predicted about 38 percent of American jobs could be at high risk for automation by the early 2030s.

U.S. education systems must prepare students to compete with robots in the future's job market, warns Jeb Bush. The former Florida governor told AM 970's John Catsimatidis: 'This is not something that's science fiction. This is happening as we speak. The failed 2016 Republican presidential candidate said: 'The looming challenge of automation and artificial intelligence and the rapid advancement of technology brings great benefits but also creates huge challenges.' Jeb Bush, pictured in September 2016, said that education in the U.S. needs an overhaul to help workers compete with robots in the future's job market The former Florida governor and failed 2016 Republican presidential candidate said: 'This is not something that's science fiction. This is happening as we speak.