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Jana Schaich Borg

Associate Research Professor in the Social Science Research Institute
Social Science Research Institute

Scholarly Works - Conferences


Can AI Model the Complexities of Human Moral Decision-making? A Qualitative Study of Kidney Allocation Decisions

Conference Conference on Human Factors in Computing Systems Proceedings · April 26, 2025 A growing body of work in Ethical AI attempts to capture human moral judgments through simple computational models. The key question we address in this work is whether such simple AI models capture the critical nuances of moral decision-making by focusing ... Full text Cite

Predicting Trust Using Automated Assessment of Multivariate Interactional Synchrony

Conference Proceedings 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition Fg 2021 · January 1, 2021 Diverse disciplines are interested in how the coordination of interacting agents' movements, emotions, and physiology over time impacts social behavior. Here, we describe a new multivariate procedure for automating the investigation of this kind of behavio ... Full text Cite

When Do People Want AI to Make Decisions?

Conference Aies 2018 Proceedings of the 2018 Aaai ACM Conference on AI Ethics and Society · December 27, 2018 AI systems are now or will soon be sophisticated enough to make consequential decisions. Although this technology has flourished, we also need public appraisals of AI systems playing these more important roles. This article reports surveys of preferences f ... Full text Cite

Adapting a Kidney Exchange Algorithm to Align with Human Values

Conference Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society · December 27, 2018 Full text Cite

Moral decision making frameworks for artificial intelligence

Conference International Symposium on Artificial Intelligence and Mathematics Isaim 2018 · January 1, 2018 The generality of decision and game theory has enabled domain-independent progress in AI research. For example, a better algorithm for finding good policies in (PO)MDPs can be instantly used in a variety of applications. But such a general theory is lackin ... Cite

Adapting a kidney exchange algorithm to align with human values

Conference 32nd Aaai Conference on Artificial Intelligence Aaai 2018 · January 1, 2018 The efficient allocation of limited resources is a classical problem in economics and computer science. In kidney exchanges, a central market maker allocates living kidney donors to patients in need of an organ. Patients and donors in kidney exchanges are ... Cite

Moral decision making frameworks for artificial intelligence

Conference Aaai Workshop Technical Report · January 1, 2017 The generality of decision and game theory has enabled domain-independent progress in AI research. For example, a better algorithm for finding good policies in (PO)MDPs can be instantly used in a variety of applications. But such a general theory is lackin ... Cite

Analysis of Brain States from Multi-Region LFP Time-Series

Conference Advances in Neural Information Processing Systems · 2014 Cite

On the Relationship Between LFP & Spiking Data

Conference Advances in Neural Information Processing Systems · 2014 Cite

S.03.01 The neurobiology of hypocretins/orexins in narcolepsy and arousal

Conference European Neuropsychopharmacology · August 2008 Full text Cite

On the relationship between LFP & spiking data

Conference One of the goals of neuroscience is to identify neural networks that correlate with important behaviors, environments, or genotypes. This work proposes a strategy for identifying neural networks characterized by time- and frequency-dependent connectivity p ... Cite

Analysis of brain states from multi-region LFP time-series

Conference The local field potential (LFP) is a source of information about the broad patterns of brain activity, and the frequencies present in these time-series measurements are often highly correlated between regions. It is believed that these regions may jointly ... Cite

Moral Decision Making Frameworks for Artificial Intelligence

Conference The generality of decision and game theory has enabled domain-independent progress in AI research. For example, a better algorithm for finding good policies in (PO)MDPs can be instantly used in a variety of applications. But such a general theory is lackin ... Cite