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AI and our tasks Yassamine Mather examines the many problems posed for the workers’ movement by artificial intelligence According to the World Economic Forum (WEF), “a new generation of smart machines, fuelled by rapid advances in artificial intelligence (AI) and robotics, could potentially replace a large proportion of existing human jobs”. 1 Robotics and AI will cause a serious “double disruption”, as the coronavirus pandemic pushed companies to fast-track the deployment of new technologies to slash costs, enhance productivity and be less reliant on real-life people. We all know about massive job losses caused by the effects of Covid-19. However, the predictions for the next few years are alarming. The WEF estimates that currently approximately 30% of all tasks are done by machines - and, of course, humans do the other 70%. But by the year 2025 this balance will dramatically change to a 50-50 combination of humans and machines. According to Pricewaterho ....
Turns out humans are leading AI systems astray because we can't agree on labeling theregister.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from theregister.com Daily Mail and Mail on Sunday newspapers.
AI: Ghost workers demand to be seen and heard bbc.co.uk - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from bbc.co.uk Daily Mail and Mail on Sunday newspapers.
Want people to stop sharing fake news? Just make them reflect on what they're sharing zmescience.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from zmescience.com Daily Mail and Mail on Sunday newspapers.
Why humans and AI are stuck in a standoff against fake news Story by Shares Fake news is a scourge on the global community. Despite our best efforts to combat it, the problem lies deeper than just fact-checking or squelching publications that specialize in misinformation. The current thinking still tends to support an AI-powered solution, but what does that really mean? According to recent research, including this paper from scientists at the University of Tennessee and the Rensselaer Polytechnic Institute, weâre going to need more than just clever algorithms to fix our broken discourse. The problem is simple: AI canât do anything a person canât do. Sure, it can do plenty of things faster and more efficiently than people â like counting to a million â but, at its core, artificial intelligence only scales things people can already do. And people really suck at identifying fake news. ....