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The Gartner Hype Cycle for Emerging Technologies, 2017 focuses on three emerging technology mega-trends: Artificial intelligence (AI) everywhere, transparently immersive experiences and digital platforms.

Google is trying to educate the masses on how AI can accidentally perpetuate the biases held by its makers

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)?

Hidden biases may be written inadvertently into the algorithms used to decide who gets a job interview or who qualifies for a loan or for parole. If a data set considers the word "programmer" closer to the word "man" than "woman," or if you build a system that learns from Wikipedia, where only 17 per cent of profiles of notable people are women, these biases will be perpetuated in the machine.

As fears grow that artificial intelligence could wipe us out, one radical idea to stop it is that man and machine merge

"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."

Workers in wholesale and retail sectors at highest risk from breakthroughs in robotics and artificial intelligence, PwC report finds.

Google DeepMind claims to have significantly improved computer-generated speech with its AI technology, paving the way forward for sophisticated talking machines like those seen in sci-fi films like "Her" and "Ex-Machina."

Can machines (e.g. robots) act and behave like humans? More to the point, do we want them to? Making them more and more like us humans could be a blueprint for another flawed species!

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

The use of machine learning, expert systems and analytics in combination with big data, is the natural evolution of what has been two different disciplines. They are converging.

A computer program has beaten the world champion of one of civilisation's oldest board games for the first time in history.  Lee Se-dol, a 33-year-old South Korean, resigned the first of five matches of the fiendishly complex strategy game against the AlphaGo program, which is built by the Google-owned British company DeepMind.

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