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It was all too natural to turn to machines when human contact was a potential risk to our lives. Telemedicine, for example, cut out the need for face-to-face consultations. With staff furloughed, working at home or laid off, companies accelerated their plans for automation and artificial intelligence.As advances in technology disrupt more sectors, it is clear that many jobs will disappear. There will be more new jobs – but they will be different, as the World Economic Forum states: “They will demand the skills needed for this Fourth Industrial Revolution and there is likely to be less direct employment and more contract and short-term work.”
Algorithms are hiding in plain sight in many instances, not just in Universal Credit
Low-waged and vulnerable people will be hardest hit. As the WEF said in its Future of Jobs Report last year: “In the absence of proactive efforts, inequality is likely to be exacerbated by the dual impact of technology and the pandemic recession.”
Many will need to retrain in radically different work environments. Given the speed of these changes, which we are already seeing, we must provide time and resources for those who need them most.
This brings us to Universal Credit, which should provide support during this time of transition, but clearly fails to do so in many cases. One reason for these failures is poorly designed algorithms, the coded instructions that tell a computer programme what sequences of steps to follow to make a decision.
Algorithms are hiding in plain sight in many instances, not just in Universal Credit. Many are valuable and work smoothly but they’re only as good as the minds creating them. Currently, there is no regulatory framework that creates standards for algorithms or indeed, whether the data they are using are fair or representative.