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12 changes: 8 additions & 4 deletions README.md
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* [*Accurate Intelligible Models with Pairwise Interactions*](http://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf)
* [*This Looks Like That: Deep Learning for Interpretable Image Recognition*](https://arxiv.org/pdf/1806.10574.pdf)

* **Links from Lecture**:
* **Links from Lecture 1**:
* [Tay (bot)](https://en.wikipedia.org/wiki/Tay_(bot))
* [New York Regulator Probes UnitedHealth Algorithm for Racial Bias](https://www.wsj.com/articles/new-york-regulator-probes-unitedhealth-algorithm-for-racial-bias-11572087601)
* [When a Computer Program Keeps You in Jail](https://www.nytimes.com/2017/06/13/opinion/how-computers-are-harming-criminal-justice.html)
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* **Interpretable Machine Learning** - [Chapter 5](https://christophm.github.io/interpretable-ml-book/agnostic.html) and [Chapter 6](https://christophm.github.io/interpretable-ml-book/example-based.html)
* [*Towards Better Understanding of Gradient-based Attribution Methods for Deep Neural Networks*](https://arxiv.org/pdf/1711.06104.pdf)

* **Links from Lecture**:
* **Links from Lecture 2**:
* [On the Art and Science of Explainable Machine Learning](https://arxiv.org/pdf/1810.02909.pdf)
* [Access Denied: Faulty Automated Background Checks Freeze Out Renters](https://themarkup.org/locked-out/2020/05/28/access-denied-faulty-automated-background-checks-freeze-out-renters)
* [ML Attack Cheatsheet](https://github.com/jphall663/secure_ML_ideas/blob/master/img/cheatsheet.png)
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## Lecture 3: Discrimination Testing and Remediation

![Two hundred neural networks from a random grid search trained on the UCI Credit Card Default dataset](/img/lecture_3.png)
<sub><sup>**Source:** [Lecture 3 Notes](tex/lecture_3.pdf)</sup></sub>


### Lecture 3 Class Materials

* [Lecture Notes]()
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* **Introduction and Background**:

* **Post-hoc Explanation Techniques**:
* **Discrimination Testing and Remediation Techniques**:

* **Links from Lecture**:
* **Links from Lecture 3**:



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159 changes: 159 additions & 0 deletions tests/200_ANNs_acc_air.ipynb

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25 changes: 25 additions & 0 deletions tex/lecture_3.bib
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@article{fair_washing,
title = {Fairwashing: the {R}isk of {R}ationalization},
author = {A{\"\i}vodji, Ulrich and Arai, Hiromi and Fortineau, Olivier and Gambs, S{\'e}bastien and Hara, Satoshi and Tapp, Alain},
journal = {arXiv preprint arXiv:1901.09749},
year = {2019},
note = {URL: \url{https://arxiv.org/pdf/1901.09749.pdf}}}

@inproceedings{gender_shades,
title={Gender {S}hades: {I}ntersectional {A}ccuracy {D}isparities in {C}ommercial {G}ender {C}lassification},
author={Buolamwini, Joy and Gebru, Timnit},
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year={2019},
note={URL: \url{https://www-cs.stanford.edu/~matei/papers/2018/mlsys_model_assertions.pdf}}}

@article{obermeyer2019dissecting,
title={Dissecting {R}acial {B}ias in an {A}lgorithm {U}sed to {M}anage the {H}ealth of {P}opulations},
author={Obermeyer, Ziad and Powers, Brian and Vogeli, Christine and Mullainathan, Sendhil},
journal={Science},
volume={366},
number={6464},
pages={447--453},
year={2019},
publisher={American Association for the Advancement of Science},
note={URL: \url{https://bit.ly/36XK6yk}}}

@article{scaffolding,
title={How {C}an {W}e {F}ool {L}{I}{M}{E} and {S}{H}{A}{P}? {A}dversarial {A}ttacks on {P}ost-hoc {E}xplanation {M}ethods},
author={Slack, Dylan and Hilgard, Sophie and Jia, Emily and Singh, Sameer and Lakkaraju, Himabindu},
journal={arXiv preprint arXiv:1911.02508},
year={2019},
note={URL: \url{https://arxiv.org/pdf/1911.02508.pdf}}}

@inproceedings{zemel2013learning,
title={Learning {F}air {R}epresentations},
author={Zemel, Rich and Wu, Yu and Swersky, Kevin and Pitassi, Toni and Dwork, Cynthia},
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185 changes: 114 additions & 71 deletions tex/lecture_3.tex

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