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The aim of this project is to enable organizations to improve the performance and business impact of their networks and communities by providing feedback and benchmarking against other firms and sectors.

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."

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?

RUSI's report found that the key limit on the use of emerging technology in policing was data itself, with much crime underreported, making the data unreliable.

"If you're anything like the average Internet user, you probably didn't spend the estimated 244 hours it would take to read every privacy policy for every website you visited last year. That's exactly why a team led by Carnegie Mellon University just launched an interactive website aimed at helping users make sense of their privacy on the web."