The Future of Work?
The Robot Takeover
is Already Here

The machines that replace us do not have to have superintelligence to execute a takeover with overwhelming impacts. They must merely extend as they have been, rapidly becoming more invisible, autonomous and crucially instrumental in our essential systems.

It’s the Algorithm Age. In the next few years humans in most positions in the world of work will be nearly 100 percent replaced by or partnered with smart software and robots —’black box’ invisible algorithm-driven tools. Algorithms are driving the world. We are information. Everything is code. We are dependent upon and merging with our machines. Advancing the rights of the individual in this vast, complex network is difficult and crucial.

Precarious times for traditional human ‘employment’ and the economy

Kevin Kelly of Wired and many of the world’s top scientists are saying artificial intelligence breakthroughs are now enabling the robot takeover he wrote about in 2013.
Google’s DeepDream images are combinations created by artificial intelligence tools, neural networks.

Statistical indicators raise serious warning flags

Civilian Labor Force Participation Rate is in decline. Data from the St. Louis Fed.
Productivity and real earnings data 1945 to 2010 from the U.S. Department of Labor Statistics.

Human-machine partnerships: How do they impact everyone?

Humans were the first ‘computers’ — all were replaced by machines

Women ‘computers’ at the Harvard College Observatory, circa 1890. The group included Harvard computer and astronomer Henrietta Swan Leavitt (1868–1921), Annie Jump Cannon (1863–1941), Williamina Fleming (1857–1911), and Antonia Maury (1866–1952). (Source: Harvard College Observatory. Public Domain).
Shivon Zilis created this graphic for Bloomberg Beta in December 2015. Updated from 2014 version.
This is Venture Scanner’s collection of Artificial Intelligence Sector companies as of April 2015:

Nobel winners warned about the threat of a ‘cybernation’ in 1964

Dave Meyer of Brocade did a presentation at the Internet Engineering Task Force meeting in Prague in the summer of 2015 in which he talked about the machine learning revolution.

Nearly 100% soon to be autonomous only or by human-machine teams

Here are more statistics indicating we could reach a crisis soon:

McKinsey graphic tied to the “Disruptive Technologies” report.

Further evolution of artificial intelligence will bring much more significant impacts

Oxford University researchers Frey and Osborne published a 2013 study. Chart by The Economist.

Electronic Privacy Information Center now campaigning for ‘algorithmic transparency’

‘Automation is Voldemort, the terrible force no one must name’

Experts’ predictions from the 2014 Elon-Pew AI, Robotics and the Future of Jobsreport.
CGP Grey’s short film “Humans Need Not Apply” aptly describes the situation.

Where do humans stack up in an algorithms-dominant work force?

So, where do we go from here?
Addressing challenges and putting solutions into action is a start

Economic inequality is already a grave problem; it may get far worse

People crowd the streets in downtown San Francisco’s Tenderloin neighborhood only a few blocks away from the offices of well-heeled tech powerhouses Yahoo, Google and others and the high-tech, high-end Westfield Shopping Mall.
Tim O’Reilly is spurring a deeper conversation about the future of work.

More potential measures: Change work hours, overhaul education

Sketchnote enthusiast Tanmay Vora created this illustration based on expert suggestions from the 2012 Elon University and Pew Internet study — commonly expressed views on the skills young people should have.

What about identity — who am I without a job?

One answer could be finding gainful employment in augmented-reality and virtual worlds

Preimagining likely problems in order to work toward best practices

Scenario One:
Hiring practices may force humans to be more robot-like

A report by Josh Bersin and Karen O’Leonard for Deloitte about talent analytics featured this graphic.

Scenario Two: Women are ‘downsized’ to the extreme

Images we see in entertainment often become the realities we live with

Scorched earth is a common scenario in future settings of films and television.
Motorola engineer Martin Cooper says “Star Trek” inspired his invention of the first handheld mobile phone in 1973.

The Algorithm Age challenge: Invisible complexity

A Japanese robotics team removes a fallen competitor from the field during the 2015 DARPA Robotics Challenge.

Algorithms are the now and the future

It is vital cooperate globally in a new examination of systems science

Director @ Imagining the Internet, Pew researcher, fact fanatic, polymath wannabe, futurist, Elon U professor, journalist

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