AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence
Abstract
Index Terms
- AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence
Recommendations
AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge ManagementThe Third Workshop on "Advances in Interpretable Machine Learning and Artificial Intelligence" (AIMLAI) presents contributions in the fields of (i) interpretable ML and AI, i.e., algorithms that are natively interpretable, and (ii) interpretability ...
Trustworthy Artificial Intelligence: A Review
Artificial intelligence (AI) and algorithmic decision making are having a profound impact on our daily lives. These systems are vastly used in different high-stakes applications like healthcare, business, government, education, and justice, moving us ...
The Tower of Babel in Explainable Artificial Intelligence (XAI)
Machine Learning and Knowledge ExtractionAbstractAs machine learning (ML) has emerged as the predominant technological paradigm for artificial intelligence (AI), complex black box models such as GPT-4 have gained widespread adoption. Concurrently, explainable AI (XAI) has risen in significance ...
Comments
Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Abstract
Funding Sources
- TAILOR - Foundations for Trustworthy AI in Europe
Conference
Acceptance Rates
Upcoming Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 118Total Downloads
- Downloads (Last 12 months)38
- Downloads (Last 6 weeks)1
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in