I don't want to tell data scientists and AI developers what to do in any given situation. I want to give scientists and engineers tools for thinking about problems. We surely can't predict all the problems and ethical issues in advance; we need to be the kind of people who can have effective discussions about these issues as we anticipate and discover them. What are some of the ethical questions that AI developers and researchers should be thinking about? Even though we're still in the earliest days of AI, we're already seeing important issues rise to the surface: issues about the kinds of people we want to be, and the kind of future we want to build.

Artificial intelligence is nowhere near the level of sentient robots or malicious intelligences in most Hollywood blockbusters but travel trend analysts consider them as pivotal for the industry -- specifically the possible obscurity of travel agents and other "middlemen." They are expected to be key disruptors in travel distribution worldwide. The portable computers in the form of smartphones make it easy for the processing power of "AI" travel applications such as GuestU and SnapTravel to perform their task of collecting immense amounts of personal data from their users. With your permission, they will collect and analyze your personal data to anticipate your needs while in vacation. According to According to MarketWatch, artificial intelligence in travel apps would substitute concierge services by anticipating all your possible needs while travelling.

Somewhere around 1973, I watched the movie, Westworld; a science fiction story set in 1983 (that was the future then), where a robot malfunction creates havoc and terror for unsuspecting vacationers at a futuristic, adult-themed amusement park. It was one of the earlier films dealing with the issue of where you draw the line between what is real and what is not, and what could possibly go wrong. In this case, one robot (played by Yul Brynner) becomes independent of the controls embedded in the technology, which turns out to be the equivalent of a virus that ultimate affects the entire robot population, and complete mayhem breaks out. If you watch any of the HBO series, a newer version of Westworld is now playing, expanding on the idea from the original movie, but taking it even further into the area of artificial intelligence by empowering the robots with an ability to understand, reason, learn, and engage with humans as though they too are human -- making it almost impossible to tell the difference. Let's jump into our reality and think about the prospect of a work-related version of Westworld, where computers armed with artificial intelligence or machine learning, take over the human role; because that's a real fear in the mind of many people, "when will they replace me with a computer?"

The organizer of a new Ypsilanti meetup series on artificial intelligence (AI) says he'll welcome questions ranging from how to make AI work for a new business idea to "Is'Terminator' going to happen?" The series starts Tuesday, Jan. 24, at SPARK East. Organizer Adam Sypniewski says he wants the meetups to be a fun place to share ideas, foster collaborations, and address any and all machine learning-based questions. "There is this vibrant startup culture in the Ann Arbor area," Sypniewski says. "I want to meet the people who have cool ideas out there. I want to introduce them to cool ideas and hopefully have something fun happen from this." Sypniewski is an Ann Arbor resident and AI developer for Deepgram, a San Francisco-based "speech search" company that uses AI to transcribe, spot keywords, and get insights from phone calls, video footage, and online media.

Mobile phone technology has progressed at an astonishing pace, with advanced technologies like fingerprint scanners and artificial intelligence now becoming a common sight on handsets. Yet it appears we're a stickler for tradition, with alarm clocks and maps topping out in a list of our favourite smartphone features in a survey by uSwitch. In a study of 2,000 UK adults, 42% cited GPS technology – used for map and navigation apps – as the most useful feature on their phone. This came above even mobile messaging apps such as Facebook and WhatsApp, which ranked highest with 36% of respondents. Alarm clock apps – which have largely replaced clock radios to become the default method for getting us out of bed every morning – were considered the most useful mobile phone feature by 35% of UK adults.

Artificial intelligence can predict better than real doctors when patients with serious heart disorders are likely to die. That's according to a paper published this week in Radiology. A team of medics and computer scientists, led by the MRC London Institute of Medical Sciences (LMS) at Imperial College London, created what is claimed to be the first computer program that uses machine learning to study heart disease. Pulmonary hypertension, a condition that increases the level of pressure exerted on the arteries that supply oxygen to the lungs, is dangerous if left untreated. It affects up to 7,000 people in the UK, and a third of patients die of heart failure within five years of diagnosis.

Artificial intelligence that can understand and answer any work-related question it is asked has been made available in the UK for the first time. The computer software, called Starmind, uses machine learning to understand queries, then source answers from previous staff conversations on a subject or track down experts within the company who are able to help. Its creators refer to it as'brain technology', adding its aim is to become a central knowledge bank within any company, an instant database of information that can be accessed by anyone. AI software which understands and answers work-related questions has been made available in the UK. Starmind is an artificial intelligence software for the workplace, designed in Switzerland.

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The development of problem solvers for configuration tasks is one of the most successful and mature application areas of artificial intelligence. The provision of tailored products, services, and systems requires efficient engineering and design processes where configurators play a crucial role. For more than 25 years the application of constraint-based methods has proven to be a key technology in order to realize configurators at Siemens. This article summarizes the main aspects and insights we have gained looking back over this period.