Superimposing Natural Intelligence on Artificial Intelligence: Optimizing Value
Document Type
Article
Publication Date
6-2020
Abstract
Tad Gonsalves and Bhuvan Unhelkar argue that while machine intelligence facilitates smart automation and autonomous operations, yielding benefits, it cannot handle decisions that need to account for subjective factors, such as satisfaction, perceived quality, or joy, which cannot be parameterized in an ML algorithm. The authors recommend judicious superimposition of human natural intelligence (NI) on machine intelligence as a better way to facilitate business decisions that factor in customer value. In their discussion of how to achieve this goal, they also present a few use cases that embrace this hybrid intelligence.
Citation / Publisher Attribution
Cutter Business Technology Journal, v. 33, no. 6, p. 26-32
Scholar Commons Citation
Gonsalves, Tad and Unhelkar, Bhuvan, "Superimposing Natural Intelligence on Artificial Intelligence: Optimizing Value" (2020). School of Information Systems and Management Sarasota Manatee Campus Faculty Publications. 107.
https://digitalcommons.usf.edu/qmb_facpub_sm/107
