July 5, 2018
Over a third of staff say employers fail to invest in next-generation workplace technology
The majority of employees are disappointed with their company’s lack of investment in technology, and despite the fact three quarters (76 percent) want to request flexible working – almost half still don’t have the option of working more flexibly, a new report from a technology company claims. According to the survey by technology company Ingram Micro Cloud UK, in collaboration with technology company Microsoft, despite the fact that Millennials and Centennials are often thought to be the driving force behind changing workplace practices – and are often derided in popular discourse for having unreasonable and unrealistic expectations – the calls for change are coming from all segments of the workforce. However, 85 percent of Millennials admit to procuring their own workplace technologies such as instant messaging, Skype, file hosting and sharing tools (all available from Ingram Micro Cloud) that aren’t supported or provided by their employer, which raises major security issues, acco.

















Following the deadline for organisations to publish their gender pay this week, it came as little surprise to find that almost 






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.
