July 5, 2018
White paper: How the workplace is pioneering the use of data in organisations
In 2017, a content creator called Oobah Butler decided that he wanted to do something with the experience he’d gained writing fake positive restaurant reviews on TripAdvisor. What if, he wondered, he set up an entirely fictitious restaurant based in the shed in his garden and then started to manipulate TripAdvisor ratings? What happened surpassed his wildest expectations. In just six months, The Shed at Dulwich became the top-rated restaurant in London, even though nobody had ever actually eaten there, based solely on fake reviews, fake pictures and the word of mouth created by a complete inability for anybody to book a table.
With companies holding ever greater amounts of data and facing heightened scrutiny through social media, employers need to consider the wider implications of their business decisions. This was the message of the President of the 
A third of UK office workers (30 percent) have admitted to only completing 1-4 tasks every day, according to a new report from Fellowes, which claims productivity levels in offices across the UK have fallen to a dramatic low. A quarter of workers admit they are unproductive for up to two hours a day, equating to a staggering 40 million-hours in lost productivity across the UK every week. Compared to data from Fellowes in 2017, the average office worker has lost an extra 30 minutes each day to productivity issues., office product specialists, released their second Productivity in the UK report today to help businesses understand what their employees need to increase output and the tools that can help. The study also found that over a third (38 percent) of office workers felt their employers weren’t doing enough to help their productivity and nearly half (40 percent) even went as far as to say they were more productive than their boss. On average Brits failed to meet deadlines at least once a week and 65 percent think a four-day working week would improve productivity.
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.
