Transparency in music-generative AI: A systematic literature review
Music-generative AI raises multiple challenges particularly related to the work of artists, the
existing music industry model, the role of AI in creative processes, and the discussion of …
existing music industry model, the role of AI in creative processes, and the discussion of …
Advancing Perception in Artificial Intelligence through Principles of Cognitive Science
Although artificial intelligence (AI) has achieved many feats at a rapid pace, there still exist
open problems and fundamental shortcomings related to performance and resource …
open problems and fundamental shortcomings related to performance and resource …
Explainable and interpretable machine learning and data mining
The growing number of applications of machine learning and data mining in many domains—
from agriculture to business, education, industrial manufacturing, and medicine—gave rise …
from agriculture to business, education, industrial manufacturing, and medicine—gave rise …
(Un) reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Comprehensibility
Ante-hoc interpretability has become the holy grail of explainable artificial intelligence for
high-stakes domains such as healthcare; however, this notion is elusive, lacks a widely …
high-stakes domains such as healthcare; however, this notion is elusive, lacks a widely …