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Employees Are More Likely To Pretend They re Working When Employers Track Their Productivity: Here s Why

11:49am EDT| Employees Are More Likely To Pretend Theyâre Working When Employers Track Their Productivity: Hereâs Why Share to Facebook Share to Linkedin A recent study shows workers are nearly two times more likely to pretend to be working when their employers invest in tracking systems to monitor their workdays. Getty Big Brother-like attempts by employers to track the productivity of remote workers seems to be backfiring. A new study released by research firm Gartner shows that employees are nearly two times more likely to pretend to be working when their employers use tracking systems to monitor their output. Gartner surveyed more than 2,400 professionals in January 2021.

Carol cochranReid blackmanAlexia cambonVirtue consultantsEmployee trackingEmployee monitoringTracking softwareRemote workersMonitoring softwareWork from homeகரோல் கோக்ரான்ரீட் கருப்பு மனிதன்ஊழியர் கண்காணிப்புகண்காணிப்பு மென்பொருள்தொலைநிலை தொழிலாளர்கள்வேலை இருந்து வீடு

Does the end of lockdown mean a return to normal office life?

Does the end of lockdown mean a return to normal office life?
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Reid blackmanUniversity of birminghamEdward granterCritical social theoryரீட் கருப்பு மனிதன்பல்கலைக்கழகம் ஆஃப் பர்மிங்காம்

Can we measure fairness? A fresh look at a critical AI debate

Read later Summary: By now, most AI practitioners acknowledge the universal prevalence of bias, and the problem of bias in AI modeling. But what about fairness? Can fairness be measured via quantifiable metrics? Some say no - but this is where the debate gets interesting. Bias is a universal trait among humans. It can be meaningless, or it can be dangerous. For example, I am biased about the Philadelphia Phillies baseball team. If a Phillies pitcher competes for the Cy Young Award at the end of the season, I am likely to extol the former s virtues and denigrate those of the latter. Unless I m a member of the Baseball Writers Associations who vote on such things, it makes no difference. It affects no one. It s harmless, and we all have them.

Judea pearlNiels bohrReid blackmanGroup benefit equalityPhiladelphia philliesBaseball writers associationsCommon crawlGoogle newsFairness definitions explainedNew metricQuantifying machine learning fairnessBenefit equalityஜூடியா முத்துநியீல்ஸ் போஹ்ர்ரீட் கருப்பு மனிதன்குழு நன்மை சமத்துவம்