331 citations · 761 across the 49 of their papers we have counts for
65 papers
FaithfulBench: Does AI Counsel Uphold or Undermine the User's Professed Faith?
M Waleed Kadous, Benjamin Olsen, Walter Scheirer +3
Do AI assistants help believers reason about moral dilemmas consistently with their faith? We present FaithfulBench, the first benchmark to score AI counsel across traditions by ho…
What's Old is New Again: Classical Dimensionality Reduction for Efficient Saliency-Guided Biometric Attack Detection
Samuel Webster, Walter Scheirer
Saliency-guided training is a paradigm in visual recognition that encourages models to focus on the most relevant image regions during learning. While its application in biometric…
Bringing Religious Values Into Design: How Theologians and Engineers See the Same Patterns Differently
Louisa Conwill, Megan K. Levis, Karla Badillo-Urquiola +1
Religious and spiritual (R/S) principles are having an increasing influence on human-centered technology design in both academia and industry. These efforts may provoke questions o…
Design Patterns for the Common Good: Building Better Technologies Using the Wisdom of Virtue Ethics
Louisa Conwill, Megan K. Levis, Karla Badillo-Urquiola +1
Virtue ethics is a philosophical tradition that emphasizes the cultivation of virtues in achieving the common good. It has been suggested to be an effective framework for envisioni…
Identifying Information from Observations with Uncertainty and Novelty
Derek S. Prijatelj, Timothy J. Ireland, Walter J. Scheirer
A machine that learns a task from observations must encounter and process uncertainty and novelty, especially when it is to maintain performance when observing new information and…
This Probably Looks Exactly Like That: An Invertible Prototypical Network
Zachariah Carmichael, Timothy Redgrave, Daniel Gonzalez Cedre +1
We combine concept-based neural networks with generative, flow-based classifiers into a novel, intrinsically explainable, exactly invertible approach to supervised learning. Protot…