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.
Titolo: | Human intelligence, ambidexterity and ai: Reflections on a data cognification case study in an underwater scenario |
Autore/i: | Delnevo G.; Lipparini A.; Roccetti M.; Sobrero M. |
Autore/i Unibo: | |
Anno: | 2018 |
Titolo del libro: | Proceedings 2nd Annual Science Fiction Prototyping Conference: Designing your Future with Science Fiction, SciFi-It, 2018 |
Pagina iniziale: | 50 |
Pagina finale: | 55 |
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. |
Data stato definitivo: | 5-feb-2019 |
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