From 7353841d1c476c1207eedc5759ac2627c1420cfc Mon Sep 17 00:00:00 2001 From: ph_ Date: Thu, 20 May 2021 12:41:33 -0400 Subject: [PATCH 1/3] Update README.md --- README.md | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index d96a2d5..7620043 100644 --- a/README.md +++ b/README.md @@ -20,10 +20,12 @@ Corrections or suggestions? Please file a [GitHub issue](https://github.com/jpha ### Lecture 1 Class Materials -* [Syllabus](rml_syllabus_summer_2020.pdf) +* [Syllabus](https://github.com/jphall663/GWU_rml/blob/master/Syllabus%20-%20PH%20-%20Responsible%20Machine%20Learning%20-%20MSBA%20-%20v3.pdf) * [Lecture Notes](tex/lecture_1.pdf) * Lecture Video - please email instructor: jphall@gwu.edu. -* Software Example: [Building from Penalized GLM to Monotonic GBM](https://nbviewer.jupyter.org/github/jphall663/GWU_rml/blob/master/lecture_1.ipynb) +* Software Example: + * [Building from Penalized GLM to Monotonic GBM](https://nbviewer.jupyter.org/github/jphall663/GWU_rml/blob/master/lecture_1.ipynb) + * [Simple Explainable Boosting Machine Example](https://nbviewer.jupyter.org/github/jphall663/GWU_rml/blob/master/lecture_1_ebm_example.ipynb) ### Lecture 1 Suggested Software @@ -46,10 +48,6 @@ Corrections or suggestions? Please file a [GitHub issue](https://github.com/jpha * [*This Looks Like That: Deep Learning for Interpretable Image Recognition*](https://arxiv.org/pdf/1806.10574.pdf) * **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) - * [When an Algorithm Helps Send You to Prison](https://www.nytimes.com/2017/10/26/opinion/algorithm-compas-sentencing-bias.html) *** From 044c850d61900eff8e238b4be04938aa12e900f1 Mon Sep 17 00:00:00 2001 From: ph_ Date: Thu, 20 May 2021 12:42:23 -0400 Subject: [PATCH 2/3] Update README.md --- README.md | 28 +--------------------------- 1 file changed, 1 insertion(+), 27 deletions(-) diff --git a/README.md b/README.md index 7620043..e0e9e44 100644 --- a/README.md +++ b/README.md @@ -85,13 +85,7 @@ Corrections or suggestions? Please file a [GitHub issue](https://github.com/jpha * [*Towards Better Understanding of Gradient-based Attribution Methods for Deep Neural Networks*](https://arxiv.org/pdf/1711.06104.pdf) * **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) - * [Debugging Machine Learning Via Model Assertions](https://cs.stanford.edu/~matei/papers/2019/debugml_model_assertions.pdf) - * [Machine Bias](https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing) - * [Gender Shades](http://gendershades.org/) - * [Explainable Neural Networks based on Additive Index Models](https://arxiv.org/pdf/1806.01933.pdf) + *** @@ -170,8 +164,6 @@ Python: * [*Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers*](https://arxiv.org/pdf/1306.4447.pdf) * **Links from Lecture 4**: - * [*A Plea for Simplicity*](https://www.schneier.com/essays/archives/1999/11/a_plea_for_simplicit.html) - * [*Privacy Risks of Explaining Machine Learning Models*](https://arxiv.org/pdf/1907.00164.pdf) *** @@ -204,18 +196,6 @@ Python: * **Links from Lecture 5**: - * [Testing and Debugging in Machine Learning (Google)](https://developers.google.com/machine-learning/testing-debugging) - * AI Incidents (not already linked above): - * [Self-Driving Uber Car Kills Pedestrian in Arizona, Where Robots Roam](https://www.nytimes.com/2018/03/19/technology/uber-driverless-fatality.html) - * [The Woz tweets on Apple and Goldman Sachs](https://twitter.com/stevewoz/status/1193424787248279552) - * [Suckers List: How Allstate’s Secret Auto Insurance Algorithm Squeezes Big Spenders](https://themarkup.org/allstates-algorithm/2020/02/25/car-insurance-suckers-list) - * [A.C.L.U. Accuses Clearview AI of Privacy ‘Nightmare Scenario’](https://www.nytimes.com/2020/05/28/technology/clearview-ai-privacy-lawsuit.html) - * [Government’s Use of Algorithm Serves Up False Fraud Charges](https://undark.org/2020/06/01/michigan-unemployment-fraud-algorithm/) - * [Microsoft's robot editor confuses mixed-race Little Mix singers](https://www.theguardian.com/technology/2020/jun/09/microsofts-robot-journalist-confused-by-mixed-race-little-mix-singers) - * [Welfare surveillance system violates human rights, Dutch court rules](https://www.theguardian.com/technology/2020/feb/05/welfare-surveillance-system-violates-human-rights-dutch-court-rules) - * [*Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission*](http://people.dbmi.columbia.edu/noemie/papers/15kdd.pdf) - ![Excerpt from *Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission*](img/asthama_pneumonia.png) - *** ## Lecture 6: Responsible Machine Learning Best Practices @@ -243,12 +223,6 @@ Python: * **Links from Lecture 6**: - * [Example Model Card](https://modelcards.withgoogle.com/object-detection) - * [Network Graph Example](https://github.com/jphall663/corr_graph) - * Autoencoder Visualizations: - * [*Reducing the Dimensionality of Data with Neural Networks*](https://www.cs.toronto.edu/~hinton/science.pdf) - * [DNSC 6279 Autoencoder Example](https://nbviewer.jupyter.org/github/jphall663/GWU_data_mining/blob/master/05_neural_networks/src/py_part_5_MNIST_autoencoder.ipynb) - *** From 98d9e39918a96adf28f64fa376d90d713c05b062 Mon Sep 17 00:00:00 2001 From: ph_ Date: Fri, 21 May 2021 11:00:04 -0400 Subject: [PATCH 3/3] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index e0e9e44..7ee30a9 100644 --- a/README.md +++ b/README.md @@ -48,6 +48,8 @@ Corrections or suggestions? Please file a [GitHub issue](https://github.com/jpha * [*This Looks Like That: Deep Learning for Interpretable Image Recognition*](https://arxiv.org/pdf/1806.10574.pdf) * **Links from Lecture 1**: + * [EU AI Regulation Proposal](https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence) + * [FTC Guidance (2021)](https://www.ftc.gov/news-events/blogs/business-blog/2021/04/aiming-truth-fairness-equity-your-companys-use-ai) ***