TY  - JOUR
A1  - Yang, Cathy Liu
A1  - Bauer, Kevin
A1  - Li, Xitong
A1  - Hinz, Oliver
T1  - Is human-AI advice better than human or AI advice?
T2  - Efl insights : an elf - the Data Science Institute publication
N2  - Business practitioners increasingly use Artificial Intelligence (AI) applications to assist customers in making decisions due to their higher prediction quality. Yet, customers are frequently reluctant to rely on advice generated from machines, especially when their decision is at stake. Our study proposes a solution, which is to bring a human expert in the loop of machine advice. We empirically test whether customers are more accepting expert-AI collaborative advice than expert or AI advice.
Y1  - 2022
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/68252
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-682526
SN  - 1866-1238
SN  - 2700-2241
VL  - 2022
IS  - 2
SP  - 4
EP  - 5
PB  - E-Finance Lab e.V.
CY  - Frankfurt am Main
ER  -