Carson Klingenberg
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View article: AI model disgorgement: Methods and choices
AI model disgorgement: Methods and choices Open
Over the past few years, machine learning models have significantly increased in size and complexity, especially in the area of generative AI such as large language models. These models require massive amounts of data and compute capacity …
View article: Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding Open
Quantifying the degree of similarity between images is a key copyright issue for image-based machine learning. In legal doctrine however, determining the degree of similarity between works requires subjective analysis, and fact-finders (ju…
View article: AI Model Disgorgement: Methods and Choices
AI Model Disgorgement: Methods and Choices Open
Responsible use of data is an indispensable part of any machine learning (ML) implementation. ML developers must carefully collect and curate their datasets, and document their provenance. They must also make sure to respect intellectual p…