4 citations · 6 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions
Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong +3
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…