- Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. AIES 2021: 884-894 - Daniella Raz, Corinne Bintz, Vivian Guetler
, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young:
Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial Recognition. AIES 2021: 895-904 - Abbavaram Gowtham Reddy:
Causality in Neural Networks - An Extended Abstract. AIES 2021: 271-272 - Pamela Robinson:
Moral Disagreement and Artificial Intelligence. AIES 2021: 209 - Laura Schelenz, Ivano Bison, Matteo Busso, Amalia de Götzen, Daniel Gatica-Perez, Fausto Giunchiglia, Lakmal Meegahapola, Salvador Ruiz-Correa:
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations. AIES 2021: 905-915 - Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru:
A Step Toward More Inclusive People Annotations for Fairness. AIES 2021: 916-925 - Shahar Segal, Yossi Adi, Benny Pinkas, Carsten Baum, Chaya Ganesh, Joseph Keshet:
Fairness in the Eyes of the Data: Certifying Machine-Learning Models. AIES 2021: 926-935 - Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya:
Rawlsian Fair Adaptation of Deep Learning Classifiers. AIES 2021: 936-945 - Shubhranshu Shekhar, Neil Shah, Leman Akoglu:
FairOD: Fairness-aware Outlier Detection. AIES 2021: 210-220 - Hao Sheng, Keniel Yao, Sharad Goel:
Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View Data. AIES 2021: 221-230 - Reza Shokri, Martin Strobel, Yair Zick:
On the Privacy Risks of Model Explanations. AIES 2021: 231-241 - Joshua Simons, Sophia Adams Bhatti, Adrian Weller:
Machine Learning and the Meaning of Equal Treatment. AIES 2021: 956-966 - Marija Slavkovik, Clemens Stachl, Caroline Pitman, Jonathan Askonas:
Digital Voodoo Dolls. AIES 2021: 967-977 - David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi:
Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. AIES 2021: 978-988 - Tom Sühr, Sophie Hilgard, Himabindu Lakkaraju:
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring. AIES 2021: 989-999 - Daniel Susser, Vincent Grimaldi:
Measuring Automated Influence: Between Empirical Evidence and Ethical Values. AIES 2021: 242-253 - Nenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed:
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. AIES 2021: 254-265 - Kate Vredenburgh:
Alienation in the AI-Driven Workplace. AIES 2021: 266 - Chris Waites, Rachel Cummings:
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation. AIES 2021: 1000-1009 - Elizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh, Madeleine Clare Elish:
Governing Algorithmic Systems with Impact Assessments: Six Observations. AIES 2021: 1010-1022 - Mohammad Yaghini, Andreas Krause, Hoda Heidari:
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness. AIES 2021: 1023-1033 - Gal Yona, Amirata Ghorbani, James Zou:
Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. AIES 2021: 1034-1041 - Yue Zhang, David DeFazio, Arti Ramesh:
RelEx: A Model-Agnostic Relational Model Explainer. AIES 2021: 1042-1049 - Remco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. Horowitz:
Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences. AIES 2021: 1050-1059 - Marion Fourcade, Benjamin Kuipers, Seth Lazar, Deirdre K. Mulligan:
AIES '21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021. ACM 2021, ISBN 978-1-4503-8473-5 [contents]
