8 citations · 16 across the 4 of their papers we have counts for
4 papers
Can Generative AI help people navigate Radical Moral Disagreements? The CONSIDER prototype
William Hohnen-Ford, Sarah Chen, Kathryn B. Francis +3
Radical Moral Disagreements (RMDs) are highly polarising topics that are increasingly censored in everyday life, with growing evidence suggesting that this polarisation carries mea…
When Large Language Models are More PersuasiveThan Incentivized Humans, and Why
Jiacheng Liu, Francesco Salvi, Philipp Schoenegger +37
Large Language Models (LLMs) have been shown to be highly persuasive, but when and why they outperform humans is still an open question. We compare the persuasiveness of two LLMs (…
Relational Norms for Human-AI Cooperation
Brian D. Earp, Sebastian Porsdam Mann, Mateo Aboy +59
How we should design and interact with social artificial intelligence depends on the socio-relational role the AI is meant to emulate or occupy. In human society, relationships suc…
Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity
Yiran Mao, Madeline G. Reinecke, Markus Kunesch +4
Is it possible to evaluate the moral cognition of complex artificial agents? In this work, we take a look at one aspect of morality: `doing the right thing for the right reasons.'…