95 citations · 108 across the 9 of their papers we have counts for
10 papers
Position: We Need Practical AI Alignment Methods to Mirror Human Reasoning
Vijay Keswani, Breanna K. Nguyen, Cyrus Cousins +3
AI systems are increasingly employed as decision aids, decision delegates, or autonomous decision-makers. This position paper argues that in many settings, particularly high-stakes…
Moral Change or Noise? On Problems of Aligning AI With Temporally Unstable Human Feedback
Vijay Keswani, Cyrus Cousins, Breanna Nguyen +4
Alignment methods in moral domains seek to elicit moral preferences of human stakeholders and incorporate them into AI. This presupposes moral preferences as static targets, but su…
Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment
Cyrus Cousins, Vijay Keswani, Vincent Conitzer +3
Recent AI trends seek to align AI models to learned human-centric objectives, such as personal preferences, utility, or societal values. Using standard preference elicitation metho…
On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods
Kyle Boerstler, Vijay Keswani, Lok Chan +4
Preference elicitation frameworks feature heavily in the research on participatory ethical AI tools and provide a viable mechanism to enquire and incorporate the moral values of va…
On the Pros and Cons of Active Learning for Moral Preference Elicitation
Vijay Keswani, Vincent Conitzer, Hoda Heidari +2
Computational preference elicitation methods are tools used to learn people's preferences quantitatively in a given context. Recent works on preference elicitation advocate for act…
Predicting Trust Using Automated Assessment of Multivariate Interactional Synchrony
Adrien Meynard, Gayan Seneviratna, Elliot Doyle +3
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 mul…
Indecision Modeling
Duncan C McElfresh, Lok Chan, Kenzie Doyle +4
AI systems are often used to make or contribute to important decisions in a growing range of applications, including criminal justice, hiring, and medicine. Since these decisions i…
Adapting a Kidney Exchange Algorithm to Align with Human Values
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong +2
The efficient and fair allocation of limited resources is a classical problem in economics and computer science. In kidney exchanges, a central market maker allocates living kidney…
Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-Making
Lok Chan, Kenzie Doyle, Duncan McElfresh +4
Given AI's growing role in modeling and improving decision-making, how and when to present users with feedback is an urgent topic to address. We empirically examined the effect of…
Bayesian time-aligned factor analysis of paired multivariate time series
Arkaprava Roy, Jana Schaich-Borg, David B Dunson
Many modern data sets require inference methods that can estimate the shared and individual-specific components of variability in collections of matrices that change over time. Pro…