171 to 180 of 2,737 Results
Tabular Data - 6.7 KB - 2 Variables, 69 Observations - UNF:6:UR9kPXBeb4Bo65L0CbGbfg==
|
Tabular Data - 6.6 KB - 1 Variables, 69 Observations - UNF:6:4zochRTlwwLAgaQIv0bkrw==
|
Comma Separated Values - 6.4 KB -
MD5: 7f0e56b4aeda3ecc9f26ac4b3c346f18
|
Tabular Data - 7.0 KB - 5 Variables, 66 Observations - UNF:6:iekeTXG9OjWyYKLijvOYeg==
|
Comma Separated Values - 3.4 KB -
MD5: 1154b3c35580f7eaa41cb48ddd3e6b4d
Detailed overview of trade balance China-EU per maritime equipment category. |
Tabular Data - 4.5 KB - 10 Variables, 33 Observations - UNF:6:69U3DY/exrmi+jTWVg7nJw==
|
Adobe PDF - 96.1 KB -
MD5: a76118f3637af21e33cb8208eba4b1d2
Detailed figures of trade balance China-EU per maritime equipment category. |
Comma Separated Values - 8.1 KB -
MD5: 2e2b1888cc480c9632ba0736e987898d
Detailed overview of HS codes mentioned in paper. |
Tabular Data - 8.3 KB - 2 Variables, 82 Observations - UNF:6:i3baQqxebMQKIlKcVADAMg==
|
Mar 7, 2024
Decuypere, Anouk; Anne Van de Vijver, 2024, "Fairness perceptions of AI use by tax administration", https://doi.org/10.34934/DVN/1NHGXH, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:bX3joxuUwAPJ8WTD68gU6g== [fileUNF]
We tested whether the proportion of AI versus auditors in fraud selection matters for fairness, and whether there is an impact of transparency (explanations). We found that a higher proportion of AI was more procedurally fair, mostly through bias suppression and consistency, and... |