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Augmentation and interface
Published in Theodora Vardouli, Olga Touloumi, Computer Architectures, 2019
Brodey and Lindgren wrote “Human Enhancement through Evolutionary Technology” and “Human Enhancement: Beyond the Machine Age,” a pair of articles in 1967 and 1968 that outlined the possibilities of interacting with burgeoning artificial intelligence. Enhancement does not differ greatly from augmentation, as Engelbart approached it, but rather expands upon the notion of dialogue. Brodey and Lindgren postulated the potential for what they called “‘interfacing in depth’ between men and machines”—what they envisioned as a dialogue between humans and computers (Brodey, Lindgren 1967: 90). They examined the role of artificial intelligence in achieving evolutionary systems that capitalize upon the distributed intelligence of time sharing systems—and the processes and interfaces that would support this notion of dialogue. In “Human Enhancement: Beyond the Machine Age,” they wrote,The augmentation research … looks at the chief design factors, the information characteristics of the messages, the signal forms and the information encoding at the interface, and the computer decoding process—which must be compatible with human ability to learn and perform.(Brodey, Lindgren 1968: 83) What was notable about Engelbart’s framework, they argued, was that it focused on humans and computers both, and not on one or the other. The interface is the locus of information encoding, but it is also an artifact that serves to support the sensemaking and decoding processes of intellect augmentation through computing.
Leveraging industrial statistics in the data revolution: The Youden Memorial Address at the 63rd Annual Fall Technical Conference
Published in Quality Engineering, 2019
Economists generally agree that the Information Age began around the last quarter of the 20th century when the manipulation and storage of data by computers and networks became easily accessible. Just like the Machine Age followed the Industrial Revolution, the Information Age is accompanied by the Data Revolution. I choose this title carefully, noting that data are not information. Before our eyes, we are watching as the businesses and industries that most efficiently transform data into meaningful information are emerging as the leaders.