Automating Knowledge Work
Some key excerpts (with comments interspersed from Marshall Kirkpatrick):
“Advances in artificial intelligence, machine learning, and natural user interfaces (e.g., voice recognition) are making it possible to automate many knowledge worker tasks that have long been regarded as impossible or impractical for machines to perform. For instance, some computers can answer ‘unstructured’ questions (i.e., those posed in ordinary language, rather than precisely written as software queries), so employees or customers without specialized training can get information on their own. [Me: I’m especially interested in things like subjective judgement that used to be exclusively the domain of humans.] This opens up possibilities for sweeping change in how knowledge work is organized and performed. Sophisticated analytics tools can be used to augment the talents of highly skilled employees [Me: Now we’re talking! Let’s talk about things that weren’t even possible before!], and as more knowledge worker tasks can be done by machine, it is also possible that some types of jobs could become fully automated.”
If you’re looking for additional, related material, here’s a piece I did that touches on AI and the future of knowledge:
Originally shared by Ward Plunet
The unsung massive 10 year disruptor: Automation of knowledge work
McKinsey said in 2013 that automation of knowledge work is going to have the one of the largest economic impacts around the world of any of the most disruptive technologies over the next 10 years, impacting the $9 trillion dollars that makes up 27% of global employment costs that go to knowledge workers.