Ahmed Elgoni felt like he'd struck gold. The 24-year-old video game developer from South Africa had in November secured a ticket to the Game Developers Conference in San Francisco -- a cultural mecca for anyone who wants to make video games. A sponsor would cover the cost of his round-trip flight from Cape Town. Just two weeks ago, he received his visa to enter the U.S. Then President Trump signed an executive order banning refugees and travelers from seven countries. Elgoni grew up in South Africa, but he was born in Sudan -- one of the countries listed as part of the travel ban. As a dual citizen, he now doesn't know if he can attend GDC, which runs from Feb. 27 to March 3. "No one's sure of what's happening," he said.

Episode Summary: Accenture is a leading global professional services company in the tech space, providing services to many of the Fortune 500 and their global equivalents. The company recently conducted a study, combined with expertise from economists and AI researchers, about the longer-term economic impact of artificial intelligence around the world. In this episode, I spoke with Chief Technology Officer Paul Daugherty, who has been with Accenture since 1986, and who was joined by Global Technology R&D Lead Marc Carrel-Billiard. We met up at a coffee shop after an AI Summit in San Francisco, and I asked Paul and Marc about what they had learned from this newly-published study and what they consider to be the significant impacts of *AI and automation on the future job market. Brief Recognition: Paul Daugherty is Accenture's CTO and leads the company's Technology Innovation & Ecosystem group.

This year, the Association for Computing Machinery (ACM) celebrates 50 years of the ACM Turing Award, the most prestigious technical award in the computing industry. The Turing Award, generally regarded as the'Nobel Prize of computing', is an annual prize awarded to "an individual selected for contributions of a technical nature made to the computing community". In celebration of the 50 year milestone, renowned computer scientist Melanie Mitchell spoke to CBR's Ellie Burns about artificial intelligence (AI) – the biggest breakthroughs, hurdles and myths surrounding the technology. EB: What are the most important examples of Artificial Intelligence in mainstream society today? MM: There are many important examples of AI in the mainstream; some very visible, others blended in so well with other methods that the AI part is nearly invisible.

There are new advancements in AI every day and people are questioning what types of jobs will be taken over by this new technology. Some people may even ask, can AI replace management and managers? To answer this question we first have to look at what it is that managers do. Managers are put in place to enforce protocols, make tough decisions and lead teams. In my opinion, I think that AI could replace bad managers.

A couple of years ago, I spent the summer in Portland, Oregon, losing things. I normally live on the East Coast, but that year, unable to face another sweltering August, I decided to temporarily decamp to the West. This turned out to be strangely easy. I'd lived in Portland for a while after college, and some acquaintances there needed a house sitter. Another friend was away for the summer and happy to loan me her pickup truck. Someone on Craigslist sold me a bike for next to nothing. In very short order, and with very little effort, everything fell into place. And then, mystifyingly, everything fell out of place. My first day in town, I left the keys to the truck on the counter of a coffee shop. The next day, I left the keys to the house in the front door. A few days after that, warming up in the midday sun at an outdoor café, I took off the long-sleeved shirt I'd been wearing, only to leave it hanging over the back of the chair when I headed home. When I returned to claim it, I discovered that I'd left my wallet behind as well. Prior to that summer, I should note, I had lost a wallet exactly once in my adult life: at gunpoint. Yet later that afternoon I stopped by a sporting-goods store to buy a lock for my new bike and left my wallet sitting next to the cash register.

Artificial General Intelligence (AGI) is an emerging field aiming at the building of "thinking machines"; that is, general-purpose systems with intelligence comparable to that of the human mind. What is currently labeled'artificial intelligence' is largely narrow automated knowledge work, lacking the flexibility and adaptability seen in animal intelligence. The pursuit of AGI begins at a foundational level, asking fundamental questions about models of cognition, knowledge acquisition, making choices through reason, thinking and conceiving the world in adaptive and intuitive ways. You emphasize the importance and value of "artificial understanding" of human language. What are the current "natural language processing" systems (Siri, Alexa, chat-bots, etc.) doing and how does this differ from what AGI is striving for w/regards to working with language? None of the language understanding systems go beyond identifying words correctly in context; this is a major step forward, but not enough.

Pity the 34 staff of Fukoku Mutual Life Insurance in Japan, diligently calculating insurance payouts and brutally replaced by an AI system. If you believe the reports from January, the AI revolution is here. In my opinion, the goings-on in Japan cannot possibly qualify as AI, but, in order to explain why, I have to explain what I think AI means. In one way, this attempt will be doomed to failure because there is no unified definition of AI. But I can, hopefully, provide a framework of understanding about the topic that may help.

Chess enthusiasts watch World Chess champion Garry Kasparov on a television monitor as he holds his head in his hands at the start of the sixth and final match 11 May 1997 against IBM's Deep Blue computer in New York. Kasparov lost this match in just 19 moves giving overall victory to Deep Blue with a score of 2.5-3.5 (STAN HONDA/AFP/Getty Images) This week's milestones in the history of technology include the invention of the integrated circuit, the first singing telegram, and the first widely-publicized triumph of the machines over humans. Jack Kilby of Texas Instruments (TI) files for a patent on the integrated circuit. For this invention he received the 2000 Nobel Prize for Physics. The notion of an integrated circuit was there.

Robots are taking increasingly bigger roles in life and business – moving well beyond manufacturing and into transportation, education, medicine and care for the elderly. But ethics and law haven't caught up. Dr. Kate Darling, a pioneer in the fields, is helping quicken the pace. A leading expert in robot ethics, she is a researcher at the Massachusetts Institute of Technology (MIT) Media Lab where she investigates social robotics and conducts experimental studies on human-robot interaction. Darling explores the emotional connection between people and life-like inventions, seeking to influence technology design and policy direction.

With intelligent digital assistants invading the home, it's becoming fairly normal to have a conversation with an Amazon Echo, Siri or Google Now. You might not think it, especially when you're in the middle of an argument with your supposedly clever digital friend, but artificial intelligence is starting to outpace us in certain areas. It might not quite have the hang of a human conversation or understand the subtle nuances in our language and meanings, but it is getting better and better at making computations and calculations. With "automation" being a big buzz word in IT, there's a huge push to make complex and human-centric tasks more streamlined and intelligent with the help of decision-making scripts, computers and artificial intelligence. It's becoming possible to perform a complicated and traditionally long-winded task with a simple click, but there's always the worry that these "intelligent" processes may have a little too much control if checks aren't built in.