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Advances in Artificial Intelligence Could Lead to Mass Unemployment: Report

Academics say half of US jobs could be automated within a decade or two Rapidly improving manufactured intelligence could lead to mass unemployment as experts have shown their concerns over Google’s leaks the purchase of a London-based start-up devoted to developing this technology. Expert Dr. Stuart Armstrong from the Future of Humanity Institute at the University of Oxford has said on Radio 4’s Today program, ” There is a risk that computers could take over human jobs at a faster rate than new jobs could be generated.”

Rapidly improving manufactured intelligence could lead to mass unemployment as experts have shown their concerns over Google’s leaks the purchase of a London-based start-up devoted to developing this technology. Expert Dr. Stuart Armstrong from the Future of Humanity Institute at the University of Oxford has said on Radio 4’s Today program, ” There is a risk that computers could take over human jobs at a faster rate than new jobs could be generated.”

“We have some studies looking at to which jobs are the most vulnerable and there quite a lot of them in logistics,  administration, insurance underwriting,” said Dr. Amstrong. “Ultimately, a huge swathe of jobs are potentially vulnerable to improved artificial  intelligence.”

Dr. Murray Shanahan, a professor of cognitive robotics at Imperial College London, agreed that improvements in artificial intelligence were creating “short term issues that we all need to be talking about.”

However, both academics praised Gooogle for Creating an ethics board to look at the “how to deploy artificial intelligence safely and reduce the risks” after its £400 million purchase of London-based start-up DeepMind.

Deepmind has been operating largely unnoticed by the wider UK technology scene, although its advances in artificial intelligence have obviously been of interest to the expert – founded in just 2012, DeepMind is Google’s largest European acquisition to date.

Dr. Shanahan hailed DeepMind as “a company with some outstanding people working for it,” noting that the company has mainly been working in the areas of machine learning and deep learning, which he described as “all about finding patterns in very large quantities of data.”

Speculation is made about Google’s purchase of the company that how they might implement the technology. Although there had been some talk of using  DeepMind’s algorithms to give ‘brains’ to Google recent robotic purchases, insiders have said that the acquisition was about improving search functionality, not AI.

Regardless of how DeepMind’s expertise will be used, Google’s purchase of the company underscores increasing fears over the impact of technology on employment.

Academics note that although professions have always been vulnerable to the forces of ‘progress’ (a nebulous concept that can cover anything from speedier computers to more efficient steam engines), current trends suggest jobs are being destroyed faster than they are being created.

Academics believe that professions have always been vulnerable to the forces of ‘progress’

A recent paper by Carl Benedikt Frey and Michael A. Osborne of Oxford University suggests that nearly half (47 per cent) of all American jobs are under threat and could be automated in “a decade of two”.

Frey and Osborne identify the most at-risk jobs as those which are based on routines (eg telemarketing, low-level accounting and data entry) and which could be replaced by increasingly advanced algorithms, as well as jobs in industry and manufacturing which have already been deeply hurt by advances in the last decades (see video above).

“While computerization has been historically confined to routine tasks involving explicit rule-based activities, algorithms for big data are now rapidly entering domains reliant upon pattern recognition and can readily substitute for labor in a wide range of non-routine cognitive tasks,” write Frey and Osborne.

“In addition, advanced robots are gaining enhanced senses and dexterity, allowing them to perform a broader scope of manual tasks. This is likely to change the nature of work across industries and occupations.”

Unfortunately, it seems that we can assume the same problems will also become rapidly apparent in the UK. Although certain types of jobs are not yet threatened (especially those which involve dealing with other humans – a vague category that can cover anything from healthcare to management) this is no guarantee that they’ll be safe forever.

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