Towards accountability in machine learning applications: A system-testing approach
Year of publication: |
2022
|
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Authors: | Wan, Wayne Xinwei ; Lindenthal, Thies |
Publisher: |
Mannheim : ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung |
Subject: | machine learning | accountability gap | computer vision | real estate | urban studies |
Series: | ZEW Discussion Papers ; 22-001 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1789605806 [GVK] hdl:10419/250385 [Handle] RePEc:zbw:zewdip:22001 [RePEc] |
Classification: | C52 - Model Evaluation and Testing ; R30 - Real Estate Markets, Spatial Production Analysis, and Firm Location. General |
Source: |
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Towards accountability in machine learning applications : a system-testing approach
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Towards accountability in machine learning applications : a system-testing approach
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Towards accountability in machine learning applications : a system-testing approach
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