We present an experimental study with three concurrent goals: a) to link AI-driven processes with some fundamental theoretical assumptions of management theory; b) to challenge the current assumption that modern synthetic intelligences might be easily "human-comparable"; c) to present the results a neural net has returned that was trained with real data from an underwater exploration scenario, with implications on the kind of the nature of this synthetic intelligence.
Delnevo, G. (2018). Human intelligence, ambidexterity and ai: Reflections on a data cognification case study in an underwater scenario. Ghent : The European Simulation Society (EUROSIS).
Human intelligence, ambidexterity and ai: Reflections on a data cognification case study in an underwater scenario
Delnevo G.;Lipparini A.;Roccetti M.
;Sobrero M.
2018
Abstract
We present an experimental study with three concurrent goals: a) to link AI-driven processes with some fundamental theoretical assumptions of management theory; b) to challenge the current assumption that modern synthetic intelligences might be easily "human-comparable"; c) to present the results a neural net has returned that was trained with real data from an underwater exploration scenario, with implications on the kind of the nature of this synthetic intelligence.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.