Why Providing Humans with Interpretable Algorithms May, Counterintuitively, Lead to Lower Decision-making Performance
How is algorithmic model interpretability related to human acceptance of algorithmic recommendations and performance on decision-making tasks? We explored these questions in a multi-method field study of a large multinational fashion organization. We first conducted a quantitative field experiment t...
| Main Authors: | , , , |
|---|---|
| Format: | Working Paper |
| Language: | en_US |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/145813 |