This is a collection of papers and other resources related to fairness.

mlr3 extension for Fairness in Machine Learning

Concise summaries of key papers in responsible AI.

FATED: Fairness, Accountability, and Transparency in Educational Data

The repository contains a lab experiment dataset exploring designs of digital participatory budgeting systems for fairness and legitimacy, focusing on diverse voting formats and aggregation methods.

The coin flip software is a user-friendly tool designed to simulate the random toss of a coin. Its ability to generate random outcomes ensures an unbiased approach, allowing for fair and transparent decision-making in a world that values equity and objectivity above all else in 2023.

FARTIP - Helping myself assimilate Microsoft's 6 Principles of Responsible Artificial Intelligence

Tool to use to calculate everyone's fair share in group expenses.

The Opioid Drug Ontology (ODO) – is an integrated and FAIR knowledgebase that is currently under development. The ODO is aimed at accelerating and improving the success of translational research, and drug discovery programs towards the identification of efficacious and safe opioid pain therapeutics.

A paper presentation of Unlocking Fairness: a Trade-off Revisited by Wick et al.

https://parul100495.github.io/fair-seldonian/

Presentation for a brief talk at URI about ethics in data science

Predicting Power Outages

Democracy (D) and Internet (I) are Yours. MathDIY is a simple mathematical notation for describing business and political decision making, capturing its motivation, tensions and context.