The seven deadly sins of predicting the future of AI.
Originally shared by Wayne Radinsky
The seven deadly sins of predicting the future of AI. Over and under estimating, imagining magic, performance versus competence, suitcase words, exponentials, hollywood scenarios, and speed of deployment.
"The graphic appears to say that we will go from 1 million grounds and maintenance workers in the US to only 50,000 in 10 to 20 years, because robots will take over those jobs. How many robots are currently operational in those jobs? ZERO. How many realistic demonstrations have there been of robots working in this arena? ZERO. Similar stories apply to all the other job categories in this diagram where it is suggested that there will be massive disruptions of 90%, and even as much as 97%, in jobs that currently require physical presence at some particular job site."
http://rodneybrooks.com/the-seven-deadly-sins-of-predicting-the-future-of-ai/
The seven deadly sins of predicting the future of AI. Over and under estimating, imagining magic, performance versus competence, suitcase words, exponentials, hollywood scenarios, and speed of deployment.
"The graphic appears to say that we will go from 1 million grounds and maintenance workers in the US to only 50,000 in 10 to 20 years, because robots will take over those jobs. How many robots are currently operational in those jobs? ZERO. How many realistic demonstrations have there been of robots working in this arena? ZERO. Similar stories apply to all the other job categories in this diagram where it is suggested that there will be massive disruptions of 90%, and even as much as 97%, in jobs that currently require physical presence at some particular job site."
http://rodneybrooks.com/the-seven-deadly-sins-of-predicting-the-future-of-ai/
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