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In line with fears often read about in the media, both anti-killer robot activist Dr. Sharkey and Brandeis University's Dr. Michael Bukatin believe that autonomous machines, either superintelligences fighting themselves and obliterating us in the process or rampant autonomous armed conflict, pose a legitimate threat. Another thought is that AI aren't evil (and never will be); instead, it's the humans behind the AI that are unpredictable and often untrustworthy, with short-sighted aims such as financial and political gains. Dr. Michael Shermer sees the likeliest risk of near-future AI in the near future involving "evil humans manipulating AI toward their ends, not evil AI itself, as no such thing will develop."

Microsoft Professional Program in AI, the latest learning track open to the public. The program provides job-ready skills and real-world experience to engineers and others who are looking to improve their skills in AI and data science through a series of online courses that feature hands-on labs and expert instructors.

The conversation around AI now is too focused on the question of how AI can replace agent interaction, which is missing the point. The aim of AI shouldn't be to replace human interaction, but to improve human interaction.

The debate between artificial intelligence (AI) and intelligence augmentation (IA) has been raging for decades. Will computer systems replace humans with a faster, smarter form of intelligence (AI) or will they augment our existing human intelligence and work alongside us (IA)?

Today, AI is reality, thanks to big data analysis, exa-scale storage, and cloud technologies that complement AI algorithms with highly scalable methods to quickly access and analyze massive data sets. #ai

Staying ahead in the accelerating artificial-intelligence race requires executives to make nimble, informed decisions about where and how to employ AI in their business. One way to prepare to act quickly: know the AI essentials presented in this guide.

AI is (currently) very good at specialist/single tasks that require brute force computational effort or training algorithms, but we are a long way from developing generalised AI, that requires some form of unsupervised deep learning. There are many things that humans understand but are well beyond the reach of AI, and this will remain the case for many years to come - if it ever happens.

Crafty engineers leverage machine learning, graph theory, and AI to build smart solutions for growth-focused companies who want to use tomorrow's AI.

While AI is a master of pattern recognition, algorithms can only operate on parts of the world that humans can precisely describe to it.

Stephen Hawking summed up the thinking of many of the researchers and funders behind artificial intelligence this week when he launched the new Leverhulme Centre for the Future of Intelligence at Cambridge by claiming that AI is "either the best or worst thing to happen to humanity."

We can stay in command of AI for as long as we control resources and value exchange in the future. However there is probably some minor chance that a self-improving AI will figure out how to wrest that control from us ... at some time in the future.

This is a journey to explore the latest innovations in AI and, most importantly, its human element, to ultimately answer the controversial questions: What physical human characteristics and emotions must a robot have to make people react to it? And, obversely, Can AI recognize human emotions?

"From checking leases at the Land Registry to sorting through millions of documents for disclosure during litigation, artificial intelligence or AI is speeding up some of the most repetitive legal tasks."

Should we be concerned about 'divergent AI language' that humans can't understand?

"The ability for machines to see, understand and interact with the world is growing at a tremendous rate and is only increasing with the volume of data that helps them learn and understand even faster. Big data is the fuel that powers AI."

A summary of 6 AI technologies that will have the most impact on jobs in the near future.

"It is somewhat safe to predict that AI will continue to be at the top of the hype cycle in 2018. But the following 51 predictions also envision it becoming more practical and useful, automating some jobs and augmenting many others, combining machine learning and big data for fresh insights, with chatbots proliferating in the enterprise."

"Today we announce Google Duplex, a new technology for conducting natural conversations to carry out "real world" tasks over the phone. The technology is directed towards completing specific tasks, such as scheduling certain types of appointments."

The world's biggest artificial intelligence companies, including Facebook and Google, have joined forces to mould the ethical rules that will govern how robots and computer programs behave in the future.

About time and welcome. I hope that those with experience of medical ethics are also involved. For two reasons; medicine is likely to be a major player and beneficiary of AI (eg personalised drugs) and medical ethics is a mature field that is used to responding to rapid innovation.

AI being used for driverless cars, energy saving and personal assistants (bots)