Results 41 to 50 of about 53,985,168 (384)
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning [PDF]
arXiv, 2022 Fairness-aware machine learning (fair-ml) techniques are algorithmic interventions designed to ensure that individuals who are affected by the predictions of a machine learning model are treated fairly. The problem is often posed as an optimization problem, where the objective is to achieve high predictive performance under a quantitative fairness ...
arxiv
Copyright Legal and Practical Reform for the South African Film Industry
The African Journal of Information and Communication, 2015 Copyright’s interest in promoting creative production is often described as requiring a “balance” between exclusion and access rights. Owners of copyright receive exclusive rights to control copies of their works, which enables authors to earn returns
Sean Flynn
doaj +1 more source
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness [PDF]
, 2023 Mitigating algorithmic bias is a critical task in the development and deployment of machine learning models. While several toolkits exist to aid machine learning practitioners in addressing fairness issues, little is known about the strategies practitioners employ to evaluate model fairness and what factors influence their assessment, particularly in ...
arxiv +1 more source
Lexicography, Terminography and Copyright
Lexikos, 2012 <p>The focus of this article is on copyright issues with specific reference to lexicography and terminography. Lexicographers and terminographers are in the peculiar position of being both creators of copyrightable products and users of copyrighted
Mariëtta Alberts, Michiel Jooste
doaj +1 more source
Copyright, Fair Use, and Creative Commons
Journal of Copyright in Education and Librarianship, 2020 This article describes an active-learning exercise intended to help teach copyright, fair use, and Creative Commons licenses. In the exercise students use a worksheet to draw original pictures, create derivative pictures on tracing paper, select ...
Arthur Jason Boston
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50 Years of Test (Un)fairness: Lessons for Machine Learning [PDF]
, 2018 Quantitative definitions of what is unfair and what is fair have been introduced in multiple disciplines for well over 50 years, including in education, hiring, and machine learning. We trace how the notion of fairness has been defined within the testing communities of education and hiring over the past half century, exploring the cultural and social ...
arxiv +1 more source
Gradual (In)Compatibility of Fairness Criteria [PDF]
arXiv, 2021 Impossibility results show that important fairness measures (independence, separation, sufficiency) cannot be satisfied at the same time under reasonable assumptions. This paper explores whether we can satisfy and/or improve these fairness measures simultaneously to a certain degree.
arxiv
Derechos de autor de las obras reproducidas y publicadas en línea por los motores de búsqueda
La Propiedad Inmaterial, 2016 Los motores de búsquedas son una importante herramienta tecnológica que facilita la difusión y acceso a información en internet. Sin embargo, cuando se trata de obras protegidas por el derecho de autor –para el caso del derecho continental– o copyright ...
Ernesto Rengifo García
doaj +1 more source
Fair Use in Post-publication Peer Review
, 2015 The Wikipedia page on fair use (http://en.wikipedia.org/wiki/Fair_use) states: “In United States copyright law, fair use is a doctrine that permits limited use of copyrighted material without acquiring permission from the rights holders. Examples of fair
J. A. T. Silva
semanticscholar +1 more source
Fair Use: 12 Myths and Realities [PDF]
, 2016 An article highlighting and discussing 12 myths that surround the fair use exception to copyright ...
Fair Use Week,
core +1 more source