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h1 tags	rasmi.io Keynote 2: Deborah Hellman Session 3: Fairness in Computer Vision and NLP Session 4: Fair Classification Session 5: FAT Recommenders, Etc. Keynote 1: Latanya Sweeney Session 1: Online Discrimination and Privacy Session 2: Interpretability and Explainability Tutorials 1 Tutorials 2 Morning Lightning Talks
h2 tags	Categories Recent Posts Archives The ML Production Readiness of Tesla’s Autopilot FAT* 2018 Conference Notes, Day 2 Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (data) Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies Mixed Messages? The Limits of Automated Social Media Content Analysis The cost of fairness in binary classification Decoupled Classifiers for Group-Fair and Efficient Machine Learning A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions Fairness in Machine Learning: Lessons from Political Philosophy Runaway Feedback Loops in Predictive Policing (code) All The Cool Kids, How Do They Fit In?: Popularity and Demographic Biases in Recommender Evaluation and Effectiveness (code) Recommendation Independence (code) Balanced Neighborhoods for Multi-sided Fairness in Recommendation FAT* 2018 Conference Notes, Day 1 Potential for Discrimination in Online Targeted Advertising Discrimination in Online Personalization: A Multidisciplinary Inquiry Privacy for All: Ensuring Fair and Equitable Privacy Protections “Meaningful Information” and the Right to Explanation Interpretable Active Learning (code) Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment Quantifying and Reducing Gender Stereotypes in Word Embeddings Understanding the Context and Consequences of Pre-trial Detention 21 Fairness Definitions and Their Politics Auditing Black Box Models People Analytics and Employment Selection: Opportunities and Concerns A Shared Lexicon for Research and Practice in Human-Centered Software Systems Navigating Mapbox and Mapzen PlaNet: Classifying Planets with Neural Networks Installing Python and TensorFlow on Yeti Python Setup Bazel Setup TensorFlow Setup Testing TensorFlow Troubleshooting Observations from the New York Scientific Data Summit Sagan Exoplanet Workshop Day 1 Afternoon dotAstronomy Day 1 James Webb Space Telescope and Astronomy Open Source Hardware in Astronomy Citizen Science with the Zooniverse: turning data into discovery (Oxford) Gaffa tape and string: Professional hardware hacking (in astronomy) Open Science with K2 #foundthem astrobites There is no such thing as a stupid question comic book Astronomy projects for the blind and visually impaired NOAO Data Lab Classifying Stellar Bubbles The Pynterferometer A short history of JavaScript Asteroid Day – June 30th, 2016 Thoughts on the Potential of Open Data in Cities Challenges Opportunities Future Outlook Posts navigation
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