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Artificial Intelligence Algorithms are Biased in Decision Making

Algorithms make determinations based on concepts favored by programmers. They are not aware that they are doing it. This intelligence is truly artificial. k intelligence l artificial Algorithms may seem to be good because they are the basis for AI. Anything that helps us must alright. This is a big mistake. Making choices is their main function and biases are set by their human creators. Decisions can benefit some while hurting others.   ⎳ a decision a artificial a intelligence a algorithms a biased a making biased ⎳ Something that makes a critical choice must by definition be biased. Coders have to define the factors leading to a decision. Bias is clearly defined in mathematics as errors. Over or under representing populations in a sample is faulty.    ⦿3 b decision b artificial b intelligence b algorithms b biased b making ⦿3 Allocative harm involves discarding relevant resources in the evaluation process. Giving advice to a specialized target can end up with the su

New System to Watch Workers

Spying is everywhere these days and researchers with employer backing are studying the way employees move during work tasks. They don't seem to care what effect this has on a workers mental state, considering you will have a contraption fitted that will go into the bathroom with you. The DorsaVi company based in Melbourne has developed a monitoring system called ViSafe. It attaches to the body by means of sticky pads that measures muscle impulses and body motion. Critically, it measures the speed at which one is moving. This will help to make the employee move faster by explaining that he/she does not move fast enough during work hours - hands up for running on the spot! Data are examined by the subject, researcher, workplace assessor, oh and another employee who is there to make up the numbers. Just where workplace assessor gets his skills and expertise from is a mystery. Like those wonderful abstract tests they give to job applicants that are never tested in real l

Improving National Productivity Will Not Be Easy

There is a problem with the call for improvement in productivity. Those calling for it will not be the ones working harder. The experiment was tried in the 1970s when many UK factories moved in the time and motion guys and started timing machinists. Unions and workers saw them coming, however. Before they even got going unions tied management down with a new contract that guaranteed workers would not be put on a lower rate if the business ran out of orders. They would be paid at the previous month's average rate when walking around doing very little.  This was done to make sure employees would not lose income due to them working harder. Furthermore, when foremen, leading hands and motion "experts" started milling around a machine workers knew what was about to happen. An older naturally slower machinists was soon moved in and lathe speeds were reduced.  Considering the motion timers had never seen capstan lathes before this was an easy trick. It took severa