Making AI Ready for the Wild: The Hybrid Intelligence Unicorn Hunter

4 Pages Posted: 26 Sep 2018 Last revised: 14 Apr 2019

See all articles by Dominik Dellermann

Dominik Dellermann

Darwin; vencortex; University of St Gallen

Adrian Calma

University of Kassel - Intelligent Embedded Systems

Date Written: March 1, 2018

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.

Keywords: Interactive Machine Learning, Hybrid Intelligence, Crowdsourcing

JEL Classification: O32

Suggested Citation

Dellermann, Dominik and Calma, Adrian, Making AI Ready for the Wild: The Hybrid Intelligence Unicorn Hunter (March 1, 2018). Available at SSRN: https://ssrn.com/abstract=3245383 or http://dx.doi.org/10.2139/ssrn.3245383

Dominik Dellermann (Contact Author)

Darwin ( email )

850 S Broadway
Suite 1000
Los Angeles, CA 90017
United States

HOME PAGE: http://https://askdarwin.com/

vencortex ( email )

Universitätsplatz 12
Kassel, 34127

University of St Gallen ( email )

Dufourstrasse 50
St Gallen, 5000
Switzerland

Adrian Calma

University of Kassel - Intelligent Embedded Systems ( email )

Wilhelmshöher Allee 73
Kassel, 34121
Germany

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