| 2019 | Fair Transfer Learning with Missing Protected Attributes. | Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R. Varshney, Skyler Speakman, Zairah Mustahsan, Supriyo Chakraborty |
| 2019 | Risk Assessments and Fairness Under Missingness and Confounding. | Amanda Coston |
| 2019 | Using Deceased-Donor Kidneys to Initiate Chains of Living Donor Kidney Paired Donations: Algorithm and Experimentation. | Cristina Cornelio, Lucrezia Furian, Antonio Nicol, Francesca Rossi |
| 2019 | Framing Artificial Intelligence in American Newspapers. | Ching-Hua Chuan, Wan-Hsiu Sunny Tsai, Su Yeon Cho |
| 2019 | (When) Can AI Bots Lie? | Tathagata Chakraborti, Subbarao Kambhampati |
| 2019 | "Scary Robots": Examining Public Responses to AI. | Stephen Cave, Kate Coughlan, Kanta Dihal |
| 2019 | A Framework for Benchmarking Discrimination-Aware Models in Machine Learning. | Rodrigo L. Cardoso, Wagner Meira Jr., Virglio A. F. Almeida, Mohammed J. Zaki |
| 2019 | How We Talk About AI (and Why It Matters). | Ryan Calo |
| 2019 | The Heart of the Matter: Patient Autonomy as a Model for the Wellbeing of Technology Users. | Emanuelle Burton, Kristel Clayville, Judy Goldsmith, Nicholas Mattei |
| 2019 | A Comparative Analysis of Emotion-Detecting AI Systems with Respect to Algorithm Performance and Dataset Diversity. | De'Aira G. Bryant, Ayanna M. Howard |
| 2019 | Towards Emotional Intelligence in Social Robots Designed for Children. | De'Aira Bryant |
| 2019 | Algorithmic Greenlining: An Approach to Increase Diversity. | Christian Borgs, Jennifer T. Chayes, Nika Haghtalab, Adam Tauman Kalai, Ellen Vitercik |
| 2019 | Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. | Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi |
| 2019 | TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles. | Vahid Behzadan, James Minton, Arslan Munir |
| 2019 | Speaking on Behalf of: Representation, Delegation, and Authority in Computational Text Analysis. | Eric P. S. Baumer, Micki McGee |
| 2019 | Artificial Intelligence's Impact on Mental Health Treatments. | Michelle C. Ausman |
| 2019 | Towards a Just Theory of Measurement: A Principled Social Measurement Assurance Program for Machine Learning. | McKane Andrus, Thomas K. Gilbert |
| 2019 | On Serving Two Masters: Directing Critical Technical Practice towards Human-Compatibility in AI. | McKane Andrus |
| 2019 | Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure. | Alexander Amini, Ava P. Soleimany, Wilko Schwarting, Sangeeta N. Bhatia, Daniela Rus |
| 2019 | Loss-Aversively Fair Classification. | Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi |
| 2019 | Robots Can Be More Than Black And White: Examining Racial Bias Towards Robots. | Arifah Addison, Christoph Bartneck, Kumar Yogeeswaran |
| 2019 | Popularity Bias in Ranking and Recommendation. | Himan Abdollahpouri |
| 2018 | Privacy-Preserving Machine Learning Based Data Analytics on Edge Devices. | Jianxin Roger Zhao, Richard Mortier, Jon Crowcroft, Liang Wang |
| 2018 | Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry. | Yuanshuo Zhao, Ioana Baldini, Prasanna Sattigeri, Inkit Padhi, Yoong Keok Lee, Ethan Smith |
| 2018 | Mitigating Unwanted Biases with Adversarial Learning. | Brian Hu Zhang, Blake Lemoine, Margaret Mitchell |