"There is a hype cycle that maps the euphoria and hysteria generated by new technology and then the consequent plunge into the trough of disillusionment when it fails to deliver on its promises. The Gartner Hype Cycle was coined in 1995, timely for the dotcom boom, and now traces the trajectory of artificial intelligence. We are at the peak of inflated expectations before we nosedive into that aforementioned disillusionment."
"As a writer, but more so as a tech worker, I've seen first-hand people's propensity to believe in things they don't understand, perhaps specifically because they don't understand them. I once had a boss who spoke about my work in hushed and reverent tones because I was working on something that simply sounded a lot like AI it was IA, or information architecture, which has nothing to do with AI except that it uses the same letters."
"At times I think it's kind of beautiful, the way enough kind-hearted people will always believe some magical and sublime invention is coming to save us. But this hope and optimism is what big tech is counting on. The hype is boosted by the opposite opinions too, ones that speak to a powerful and all-knowing dystopian force coming to us straight out of science fiction novels."
The Gartner Hype Cycle maps euphoria around new technology to a subsequent trough of disillusionment. Artificial intelligence currently sits at the peak of inflated expectations, risking a nosedive as companies struggle to convert investments into productivity. Many workers and creatives would welcome a collective loss of belief to correct misplaced optimism. Human tendency to trust unfamiliar concepts amplifies hype, as shown by confusion between IA (information architecture) and AI. Hope and dystopian fear both feed the hype machine, and big technology leverages those emotions. Collective ignoring is proposed as a strategy to quiet the frenzy and puncture the bubble.
Read at www.theguardian.com
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