… representation in evaluation datasets for AI models, both due to the prevalence of poor
representation … pressing need for an understanding of representation that is aligned with the goal …

… AI Evaluation for Safety), that offers a framework for the fine-grained representation and …
opinions of safety in model training and evaluation, the primary contributions of this paper and …

… of artificial intelligence (AI), not specifically targeted at musical applications. We then consider
a representative selection of music representation … notion of representation from most of …

… creating inclusive AI systems that work for a diverse group of users is ensuring representation
of … A growing number of evaluations have explored AI systems’ performance disparities for …

… of quantitative XAI evaluation methods. Our systematic collection of evaluation methods
provides … The Co-12 categorization scheme and our identified evaluation methods open up …

… In fact, both the notions of knowfedge and representation … Since AI research methodology
involves the design of programs that exhibit intelligent behavior, researchers have often taken …

… When assessing new models obtained through Representation Reading, we prioritize a
holistic evaluation approach by combining the following methods to gauge the depth and nature …

… of representation learning. To understand the current applications of representation learning,
we review evaluation methods of representation learning algorithms. On the basis of our …

… recent years concerning cognition and representation. At the same … AI without representation
will be useful in the evaluation of the various philosophical theories about representation…

… ) graphical integrity - the representations should highlight the … should be visible in the
representation, (iii) morphological … layer separation - the representation cannot occlude the raw …