June 4, 2018
Two-thirds of employers believe agency and gig workers should be able to request a stable employment contract
Two-thirds of employers (67 percent) back the introduction of a new right for agency workers and zero-hours contract workers to request a stable contract, according to the Chartered Institute of Personnel and Development. The findings, which form part of the CIPD’s response to the Government’s consultation on the Taylor Review of Modern Working Practices, are based on a survey of 1,000 employers. The survey found that 67 percent of respondents said they support the right to request a stable contract, which would potentially allow agency workers to request a permanent contract of employment and zero-hours contract workers to request regular or guaranteed hours.The CIPD believes the right to request should be available to people who have 12 months of continuous service with one organisation, a suggestion supported by 41 percent of employers. 32 percent of respondents supported a period of at least six months and 20 percent were in favour of at least three months. (more…)















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.




