Abstract
Artificial intelligence (AI) and especially machine learning (ML) has been increasingly incorporated into a wide range of critical applications, such as healthcare, justice, credit risk assessment, and loan approval. In this paper, we survey the motivations for caring about model transparency, especially as AI systems are becoming increasingly complex leviathans with many moving parts. We then briefly outline the challenges in providing computational solutions to transparency.
Author supplied keywords
Cite
CITATION STYLE
Papantonis, I., & Belle, V. (2023). Model Transparency: Why DoWe Care? In International Conference on Agents and Artificial Intelligence (Vol. 3, pp. 650–657). Science and Technology Publications, Lda. https://doi.org/10.5220/0011726300003393
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.