Workshop on Trustworthy Algorithmic Decision-Making
Whitepapers submitted by workshop participants and posted with authors’ permission.
- Amanda BowerFairness in Compound Decision Making Processes
- Ansgar KoeneTrustworthy Algorithmic Decision-Making, Based on the UnBias project
- Anthony T. PinterAlgorithms as Audiences
- Berk UstunTrustworthy Decision-Making via Optimal Scoring Systems
- Bo Cowgill and Catherine TuckerAlgorithmic Bias: A Counterfactual Perspective
- Christin SeifertContextialized and personalized explainations of machine learning algorithms
- Christine T. WolfAlgorithmic Living: A Practice-based Approach to Studying Algorithmic Systems
- Chuck HowellFairness Cases: A framework for incremental progress in consequential machine learning
- David J StracuzziIncreasing Trust By Quantifying Uncertainty
- David WeinbergerDon’t explain. Optimize.
- Elijah MayfieldThe Hidden Work of Implementing Technology in Education
- Ellen VorheesDatasets and Benchmarks for AI
- Emrah AkyolTrustworthy Algorithmic Decision-Making via Transparent Machine Learning
- Ezekiel Dixon-RománAlgorithmic Reasoning as Racializing Assemblages
- Finale Doshi-Velez, Ryan Budish, and Mason KortzThe Role of Explanation in Algorithmic Trust
- Galen HarrisonPublicly Fair Machine Learning
- Inbal Talgam-CohenPricing Equilibrium – Inherently Trustworthy, Approximately Fair
- Jed BrubakerSocializing Algorithms
- Jenn HalenDiscriminatory biases can become a subtle, built-in feature of algorithmic design
- Joshua KrollAccountability, Evidence, and Trust in Automated Decision-Making
- Katharina A. ZweigData Donations – A Study Design to hold Algorithms Accountable by Crowd Sourcing
- Kristen VaccaroAlgorithmic Appeals
- Ling LiuTrustworthiness of Deep Learning in Adversarial Settings
- Maria Y. Rodriguez, PhD, MSW, Teresa De Candia, and Leila PreeEvaluating Predictive Algorithms for Racial Equity: A Case Study of the NYC Administration for Children’s Services
- Matthew ZookSmart Cities and Secret Algorithms: How do we Trust Big Data Urban Algorithms?
- Min Kyung LeeA contextual framework for conceptualizing fair & trustworthy algorithmic decisions
- Nicholas DiakopoulosTowards Algorithmic Transparency
- Raquel L. HillOnline Data and the Job Seeker
- Rishi Ahuja and Bryce StephensPotential Risks and Legal Challenges Associated with the Use of Alternative Data and Algorithms in the Credit Process
- Shion GuhaTrust and Ethics in Algorithmic Crime Analysis
- Stacy WoodAlgorithmic Trust within the Criminal Justice Context
- Vincent Conitzer, Jana Schaich Borg, and Walter Sinnott-ArmstrongUsing Human Subjects’ Judgments for Automated Moral Decision Making
- William RinehartUnderstanding the Impact of Algorithms Requires Social Significance, Not Simply Statistical Significance
- Zhe Zhang and Daniel B. NeillIncreasing Trust By Detecting Hidden Prediction Bias and Mistakes