Can AI Make Your Job More Interesting?

Sixty years ago, in an era of computer mainframes and slide rules, J.C.R. Licklider of the Defense Advanced Research Projects Agency (DARPA) outlined a bold vision of a mutually beneficial human-computer symbiosis, a partnership in which both humans and machines positively benefit. The vision remain...

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Bibliographic Details
Published in:	Issues in science and technology 2020-10, Vol.37 (1), p.74-78
Main Authors:	PASCHKEWITZ, JOHN, PATT, DAN
Format:	Article
Language:	eng
Subjects:	Aerospace Education Algorithms Artificial intelligence Automation Aviation Cognitive ability Computers Coordination COVID-19 Design engineering Design optimization Drug development Evaluative Thinking FEATURES Human-computer interaction Landing behavior Mainframes Military engineering Military planning Neurosciences Occupational Information Productivity Research projects Robotics Software Software engineering Symbiosis Tournaments & championships
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Summary:	Sixty years ago, in an era of computer mainframes and slide rules, J.C.R. Licklider of the Defense Advanced Research Projects Agency (DARPA) outlined a bold vision of a mutually beneficial human-computer symbiosis, a partnership in which both humans and machines positively benefit. The vision remains largely unfulfilled. Today, humans and intelligent machines work alongside each other--say, in a robotics-enabled Amazon fulfillment center--but it's hard to claim that this shoulder-to-shoulder work represents a symbiosis. Instead, it is humans who do the routine work of filling boxes, while algorithms collect the insights on product popularity. Human-machine symbiosis is not just a process of seeking out and dividing labor between those things that people are better at and those that machines are better at. That framing has been incredibly useful because it results in ever-improving superior human productivity that's directly measurable, and it drives cycles of continually improving machines, algorithms, and human interfaces. Both of us have developed technologies that fit this template: lab automation for drug discovery, software for optimizing engineering design, and improved coordination and planning tools for military operators.
ISSN:	0748-5492 1938-1557