Big Data

Google once believed it could use algorithms to track pandemics. People with flu would search for flu-related information, it reasoned, giving the tech giant instant knowledge of the disease’s prevalence. Google Flu Trends (GFT) would merge this information with flu tracking data to create algorithms that could predict the disease’s trajectory weeks before governments’ own estimates.

But after running the project for seven years, Google quietly abandoned it in 2015. It had failed spectacularly. In 2013, for instance, it miscalculated the peak of the flu season by 140 per cent.

According to the German psychologist Gerd Gigerenzer, this is a good example of the limitations of using algorithms to surveil and study society. The 74-year-old has just written a book on the subject, How to Stay Smart in a Smart World. He thinks humans need to remain in charge in a world increasingly filled with artificial intelligence that tries to replicate human thinking.

http://archive.today/2022.02.17-120640/https://www.spectator.co.uk/article/the-algorithm-myth-why-the-bots-won-t-take-over