| Modelling and Influencing the AI Bidding War: A Research Agenda
|
2019 |
Han, The Anh |
| Paradoxes in Fair Computer-Aided Decision Making
|
2019 |
Morgan, Andrew |
| TED: Teaching AI to Explain its Decisions
|
2019 |
Hind, Michael |
| Faithful and Customizable Explanations of Black Box Models
|
2019 |
Lakkaraju, Himabindu |
| Building Jiminy Cricket: An Architecture for Moral Agreements Among Stakeholders
|
2019 |
Liao, Beishui |
| Balancing the Benefits of Autonomous Vehicles
|
2019 |
Geary, Timothy |
| Counterfactual Fairness in Text Classification through Robustness
|
2019 |
Garg, Sahaj |
| Equalized Odds Implies Partially Equalized Outcomes Under Realistic Assumptions
|
2019 |
McNamara, Daniel |
| Specifying AI Objectives as a Human-AI Collaboration problem
|
2019 |
Dragan, Anca |
| Perceptions of Domestic Robots! Normative Behavior Across Cultures
|
2019 |
Li, Huao |
| Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data
|
2019 |
Gram-Hansen, Bradley J. |
| A Comparative Analysis of Emotion-Detecting Al Systems with Respect to Algorithm Performance and Dataset Diversity
|
2019 |
Bryant, De’Aira |
| Degenerate Feedback Loops in Recommender Systems
|
2019 |
Jiang, Ray |
| Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products
|
2019 |
Raji, Inioluwa Deborah |
| Inferring Work Task Automatability from AI Expert Evidence
|
2019 |
Duckworth, Paul |
| Generating Appropriate Responses to Inappropriate Robot Commands
|
2019 |
Jackson, Ryan Blake |
| Algorithmic Stereotypes: Implications for Fairness of Generalizing from Past Data
|
2019 |
McNamara, Daniel |
| Perceptions of Fairness
|
2019 |
Saxena, Nripsuta Ani |
| Risk Assessments and Fairness Under Missingness and Confounding
|
2019 |
Coston, Amanda |
| Towards Formal Models of Blameworthiness
|
2019 |
Friedenberg, Meir |
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