Making AI Ready for the Wild- the Hybrid Intelligence Unicorn Hunter
Type
working paper
Date Issued
2018
Author(s)
Dellermann, Dominik
;
Calma, Adrian
Research Team
IWI 6
Abstract
This demonstration paper proposes a hybrid intelligence system that combines the complementary strengths of human and machines for complex decision-making problems that require human “gut feeling” (i.e. success prediction for startups). The architecture extends principles of previous interactive machine learning systems by using continuous input from an expert crowd and explicitly leveraging the advantages of collective intelligence. This approach allows to augment machine learning techniques for generating features, intuitive and analytic labeling as well as troubleshooting.
Language
English
Keywords
Crowdsourcing
Hybrid Intelligence
Interactive Machine Learning
HSG Classification
contribution to practical use / society
Publisher place
Social Science Research Network (SSRN)
Event Title
Social Sciene Research Network (SSRN)
Official URL
Eprints ID
254946
File(s)![Thumbnail Image]()
Name
JML_701.pdf
Size
1.69 MB
Format
Adobe PDF
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