Results 41 to 50 of about 51,546,132 (341)

Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness [PDF]

open access: yes, 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

Engaging Faculty and Reducing Costs by Leveraging Collections: A Pilot Project to Reduce Course Pack Use

open access: yesJournal of Librarianship and Scholarly Communication, 2017
INTRODUCTION Academic libraries have the privilege of serving many roles in the lives of their institutions. One role that is largely untapped is their ability to actively leverage their collections to support faculty teaching and to reduce student out ...
Bobby Glushko   +3 more
doaj   +2 more sources

Copyright, Fair Use, and Creative Commons

open access: yesJournal 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
doaj   +1 more source

50 Years of Test (Un)fairness: Lessons for Machine Learning [PDF]

open access: yes, 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]

open access: yesarXiv, 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  

Copyright Legal and Practical Reform for the South African Film Industry

open access: yesThe 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

Survey on Fair Reinforcement Learning: Theory and Practice [PDF]

open access: yesarXiv, 2022
Fairness-aware learning aims at satisfying various fairness constraints in addition to the usual performance criteria via data-driven machine learning techniques. Most of the research in fairness-aware learning employs the setting of fair-supervised learning.
arxiv  

Fair Use in Post-publication Peer Review

open access: yes, 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

Insertion of the FeB cofactor in cNORs lacking metal inserting chaperones

open access: yesFEBS Letters, EarlyView.
Nitric oxide reductase is an enzyme found in the bacterial denitrification pathway. The NOR active site contains a non‐heme iron, often, but not always inserted with the assistance of chaperones. Here, we study the insertion of FeB in the subfamily of cNORs lacking chaperones and found a putative channel, conserved in the family, perhaps enabling the ...
Sofia Appelgren, Pia Ädelroth
wiley   +1 more source

Towards FAIR protocols and workflows: the OpenPREDICT use case [PDF]

open access: yesPeerJ Computer Science, 2020
It is essential for the advancement of science that researchers share, reuse and reproduce each other’s workflows and protocols. The FAIR principles are a set of guidelines that aim to maximize the value and usefulness of research data, and emphasize the
Remzi Celebi   +6 more
doaj   +2 more sources

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