Skip to content
Reading history for Fair ML Reading Group in Melbourne
Jupyter Notebook
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
scratch
2019.md
README.md

README.md

Fair ML Reading Group 2020

🌏 Melbourne, Australia
🏠 Hosted by Silverpond
🤖 Facilitated by Laura
📬 Listserv at groups.io/g/fair-ml
🗓 Google calendar

Description

A multi-disciplinary group reading papers on the topic of fairness and ethics in Machine Learning and Data Science.

2019 papers — https://github.com/summerscope/fair-ml-reading-group/blob/master/2019.md


Reading history

January 16
On Consequentialism and Fairness
https://arxiv.org/abs/2001.00329

January 24
A Framework for Understanding Unintended Consequences of Machine Learning
https://arxiv.org/abs/1901.10002

January 30
Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for Ai
https://cyber.harvard.edu/publication/2020/principled-ai

February 14
Bayesian Modeling of Intersectional Fairness: The Variance of Bias
http://arxiv.org/abs/1811.07255v2

February 21
Autonomous technology – sources of confusion: a model for explanation and prediction of conceptual shifts
https://www.researchgate.net/publication/259204283_Autonomous_technology_-_sources_of_confusion_A_model_for_explanation_and_prediction_of_conceptual_shifts

February 28
The hidden assumptions behind counterfactual explanations and principal reasons
https://dl.acm.org/doi/10.1145/3351095.3372830

March 5
Bayesian Modeling of Intersectional Fairness: The Variance of Bias (Revisited)
http://arxiv.org/abs/1811.07255v2

You can’t perform that action at this time.