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Background The Findable, Accessible, Interoperable and Reusable(FAIR) Principles explicitly require the use of FAIR vocabularies, but what precisely constitutes a FAIR vocabulary remains unclear.
Fuqi Xu +5 more
doaj +1 more source
Counterfactual risk assessments, evaluation, and fairness [PDF]
Algorithmic risk assessments are increasingly used to help humans make decisions in high-stakes settings, such as medicine, criminal justice and education. In each of these cases, the purpose of the risk assessment tool is to inform actions, such as medical treatments or release conditions, often with the aim of reducing the likelihood of an adverse ...
Amanda Coston +3 more
openaire +2 more sources
At the end of 2022, an author group led by the EOSC Association Task Force on FAIR Metrics and Data Quality published ‘Community-driven governance of FAIRness assessment: an open issue, an open discussion’ which, as the title suggests, aims to foster an ...
Jonquet, Clement +9 more
core +2 more sources
This paper arises from the concern to review the difficulties and complexities in the application of the concept of fair value, given that in some economies, such as Latin American ones, in some cases there are not active markets for the ...
Ruth Alejandra Patiño Jacinto +3 more
doaj +1 more source
Towards an extensible FAIRness assessment of FAIR Digital Objects [PDF]
The objective of the FAIR Digital Objects Framework (FDOF) is for objects published in a digital environment to comply with a set of requirements, such as identifiability, and the use of a rich metadata record (Santos 2021, Schultes and Wittenburg 2019 ...
Vincent Emonet +3 more
doaj +3 more sources
Fair value: history, assessment and financial crisis [PDF]
For the last 20 years fair value accounting has considerably extended its domain. Fair value is a probabilistic market value, which is expected to be obtained on the basis of forecasting of future events, connected with an asset sale or transfer of ...
Iryna Burdenko
doaj +1 more source
The FAIR principles (Findability, Accessibility, Interoperability, and Reusability) constitute a guide whose aim is to improve the management of digital scholarly resources.
Arnaud Gingold, Karla Avanço
doaj +2 more sources
D5.2 - Metrics for automated FAIR software assessment in a disciplinary context
This deliverable from Task 5.2 (FAIR metrics for research software) on "Metrics for automated FAIR software assessment in a disciplinary context" is part of Work Package 5 on "Metrics, Certification and Guidelines" within the FAIR-IMPACT project.
Shepeherdson, John +12 more
core +1 more source
Fairness in Assessment: Identifying a Complex Adaptive System
Introduction: Assessment design in health professions education is continuously evolving. There is an increasing desire to better embrace human judgement in assessment. Thus, it is essential to understand what makes this judgement fair. This study builds
Nyoli Valentine +3 more
doaj +1 more source
Assessing and Enforcing Fairness in the AI Lifecycle
A significant challenge in detecting and mitigating bias is creating a mindset amongst AI developers to address unfairness. The current literature on fairness is broad, and the learning curve to distinguish where to use existing metrics and techniques for bias detection or mitigation is difficult.
Calegari R. +3 more
openaire +3 more sources

