May 16, 2018
Use of tech in the evening linked to sleep disruption and a range of serious mood disorders
People should not use their laptops and mobile phones in the evening if they want to avoid sleep disruption and a range of mood disorders, including depression, claims new research from the University of Glasgow. The largest study so far into the link between disrupted body clocks and mood disorders and wellbeing has been published in the journal Lancet Psychiatry. The research into the behaviour of 91,000 people shows that disrupted body clock rhythms are associated with increased susceptibility to depression, bipolar disorder, and adverse wellbeing. According to the study, disturbances to the body’s internal clock, characterised by increased activity during rest periods and/or inactivity during the day, are also associated with mood instability, more subjective loneliness, lower happiness and health satisfaction, and worse cognitive function.










Users of co-working and flexible space rapidly growing in numbers, according to a report, Marketplace for flexible work, from research conducted by (flexible workspace provider) The Instant Group and architects HLW. The report claims to ‘analyse’ the coworking and flexible workspace sector to gather a ‘360-degree perspective’ of the industry to determine where ‘perspectives align and diverge among stakeholders’. The research also claims that location and the ability to assign or reassign employees to workspace on short notice were also important influencers when choosing flexible workspace over conventional office space. Looking forward, the research claims that more than half of the companies interviewed envisage spending less time working from a traditional company office space.












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.

May 1, 2018
No surprises in new report on future workplace trends
by Mark Eltringham • Comment, Flexible working, Technology, Wellbeing, Workplace design
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