Prediction and explainability in AI: Striking a new balance?
The debate regarding prediction and explainability in artificial intelligence (AI) centers around the trade-off between achieving high-performance accurate models and the ability to understand and interpret the decisionmaking process of those models. In recent years, this debate has gained significa...
| 出版年: | Big Data & Society |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
SAGE Publishing
2024-03-01
|
| オンライン･アクセス: | https://doi.org/10.1177/20539517241235871 |