التفاصيل البيبلوغرافية
| العنوان: |
Explainability Is Not a Game. |
| المؤلفون: |
Marques-Silva, Joao1 (AUTHOR), Huang, Xuanxiang2 (AUTHOR) |
| المصدر: |
Communications of the ACM. Jul2024, Vol. 67 Issue 7, p66-75. 10p. |
| مصطلحات موضوعية: |
*ARTIFICIAL intelligence, *DECISION trees, HUMAN-artificial intelligence interaction, MACHINE learning, PARAMETERIZATION, COOPERATIVE game theory |
| مستخلص: |
This article presents the concept of explainability in machine learning (ML) decisions, automated approaches that explain the predictions made especially when these decisions impact humans. The article explores both informal and formal approaches to eXplainable artificial intelligence (XIA) with an in depth look at utilizing Shapley values in informal approaches to highlight the limitations to this method. |
| قاعدة البيانات: |
Business Source Index |