In 2013 Carl Benedikt Frey and Michael A. Osborne published a report titled "The Future of Employment: How susceptible are jobs to computerisation?”. The authors examine how susceptible jobs are to computerisation, by implementing a novel methodology to estimate the probability of computerisation for 702 detailed occupations, using a Gaussian process classifier.
Software developers, software engineers, and programmers are essentially the same profession yet the results are drastically different. What's your methodology for determining the numbers?
@kay0stheory The data was collected from a report titled "The Future of Employment: How susceptible are jobs to computerisation?”, published by Carl Benedikt Frey and Michael A. Osborne: http://www.oxfordmartin.ox.ac.uk...
We also aggregated additional data from the US Bureau of Labor Statistics, related to the number of jobs and salary.
@souravray@dreamture I tried searching for "prostitute" it is missing in the DB. I can think of these creepy being from the AI Movie, what is the probability of that coming to pass?
Thanks for the hunt @bentossell !
Just a few weeks ago, I joined the freelance.tv (thx @dannpetty) community slack where @dreamture reached out to see if I might be interested on working on a side project.
I've been involved in the bot scene for a while (👋 https://www.producthunt.com/post...), so Dimitar's idea to build a website to show how susceptible your job is to automation peeked my interest.
He had found the data in an report published in 2013, and we pulled in some additional data from the Bureau of Labor Statistics, and we had the basis of our website.
Dimitar did a great job of designing a clean but interesting interface, and I got to coding. We pulled the data into Algolia to make it easy to find the jobs.
I found the numbers interesting, and seeing how far things have come since 2013, I'm curious to see how automation will continue to move into the work place.
Hope you like it!
@mubashariqbal@bentossell@dannpetty@dreamture nice use of ONET data guys! We used onet data at my last startup to build a KSA map of all the jobs in the US. I like your use of the data set! Are you catching the data locally and using your own services or are you using ONETs API? Did you consider including the related job titles in the API call? The occupational titles seem too broad, if you add related job titles that brings your jobs up to around 85k different possible "street names" for jobs.
Report
Producers & directors have a 2.2% chance of becoming robots, phew! Train drivers, however, have an 86% chance... Very useful!
A back button that would take me back to the disambiguation page instead of the home page would be nice.
And what does % mean? How long into the future is the prediction number valid for?
TheyMadeThat
Will My Job Give Me Covid-19?
Will My Job Give Me Covid-19?
Taffy
Spell It!
Will My Job Give Me Covid-19?
Will My Job Give Me Covid-19?
World Cup Next
Resist 🗽
World Cup Next
Spell It!
Can you out tweet an AI?