4 citations · 4 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Towards Stable Preferences for Stakeholder-aligned Machine Learning
Haleema Sheraz, Stefan C. Kremer, Joshua August Skorburg +3
In response to the pressing challenge of kidney allocation, characterized by growing demands for organs, this research sets out to develop a data-driven solution to this problem, w…