April 17, 2018
Robots will lead to increased productivity without stealing jobs, but wages will fall
Robots will not as feared steal people’s jobs and will eventually improve productivity, but they will undercut workers’ contribution sufficiently to depress their wages. According to the third report in Barclays Impact Series, titled Robots at the gate: Humans and technology at work, technology is fundamentally re-shaping the nature of work, and the implications of this re-shaping process will accelerate in coming decades. The report authored by Barclays’ Research team and supported by the Barclays Social Innovation Facility sets today’s technological advancements in the context of historical precedent and argues that robotics and Artificial Intelligence do not portend a jobless future. However, these new technologies have important macroeconomic consequences, such as wage disinflation, which will likely continue in the years or even decades to come. The report also argues that productivity spurts lag behind technological leaps, as it can take years or even decades for an economy to figure out how to best use a new technology. Eventually, economies of scale are reached, consumer behaviour adapts, companies refine their business models and productivity growth finally kicks in. (more…)






















The challenge to achieve gender equality at work isn’t made any easier by the attitudes of some employers. Although men increasingly want to be more present at home, currently fathers are 
Artificial intelligence systems need to be accountable for human bias at AI becomes more prevalent in recruitment and selection, attendees at the Employers Network for Equality & Inclusion’s annual conference have been warned. Hosted by NatWest, the conference, Diversity & Inclusion: The Changing Landscape heard from experts in ethics, psychology and computing. They explained that AIs learnt from existing data, and highlighted how information such as performance review scores and employee grading was being fed in to machines after being subjected to human unconscious bias. Dr David Snelling, the programme director for artificial intelligence at technology giant Fujitsu, illustrated how artificial intelligence is taught through human feedback. Describing how huge data sets were fed into the program, David explained that humans corrected the AI when it used that data to come to an incorrect conclusion, using this feedback to teach the AI to work correctly. However, as this feedback is subject to human error and bias, this can become embedded in the machine.

March 26, 2018
A growing number of employers are driving demand for independent professionals
by Adam Gates • Comment, Workplace
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