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NRF and WBS/KIN co-hosting, in support of Children In Need

"PwC has developed a virtual reality (VR) experience for its clients, allowing them to explore and better understand the range of potential future disruptions that could impact their organisation."

"The automation of work by machines, including AI, and the increasing interconnectedness between people, machines, and ideas. In the book, Only Humans Need Apply, the authors identify five ways that people can adapt to automation and intelligent machines."

What does the future of work look like

Whats does the future of work look like?

The application of AI to the development of smarter robo-advisers offers a dichotomy of hope or fear that it could yield 'intelligent' and cost-effective investment management advice.

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

"The next generation of social technologies is beginning to transform the way people communicate and work with each other, according to a new survey."

"Innovations in digitization, analytics, artificial intelligence, and automation are creating performance and productivity opportunities for business and the economy, even as they reshape employment and the future of work."

A future in which human workers are replaced by machines is about to become a reality at an insurance firm in Japan, where more than 30 employees are being laid off and replaced with an artificial intelligence system that can calculate payouts to policyholders.

The implications of advancing technology to a point where its applications can mimic, assume or replace the role of people, to a point where humankind is no longer needed to guide such developments, leads to a multitude of questions about what this means for the future of society.

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."

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)

These scenarios describe two predictions in what will be an algorithmic and smart machine driven world where people and machines must define harmonious relationships.

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.

Every industry is becoming an analytics industry because of the inclusion of data-driven technology. Traditional industries, such as healthcare and finance, are actually purchasing analytic technologies with the intent of becoming digital leaders in their industry. IoT is regarded as a future trend, and according to Gartner, by 2018, six billion connected things will be requesting data support. This requires tools that are future-proofed to handle the mass and types of data that Gartner is forecasting.

Though US-centric, this Pew Report "Public Predictions for the Future of Workforce Automation" gives some insight to workforce attitudes to automation. Despite their expectations that technology will encroach on human employment in general, most workers think that their own jobs or professions will still exist in 50 years. Heads in the sand, or justifiable pessimism?

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."