Analysis of reasoning errors in vision language models and how they impact user trust and the ability to detect errors highlights how CoT explanations can simultaneously clarify and mislead, underscoring the need for NLP systems to provide explanations that encourage scrutiny and critical thinking rather than blind tru...
Eunkyu Park, Wesley Hanwen Deng, Vasudha Varadarajan et al.· arXiv.org· 6 citations
This work synthesizes current knowledge through a literature review of 161 empirical studies spanning six years, each engaging industry practitioners via interviews, surveys, workshops, ethnographies, and other methods, to provide a more complete account of industry RAI than any single study to date.
W. Deng, Agathe Balayn, Andrew D. Selbst et al.· 0 citations
This work builds on and extends the Beneficent Intelligence (BI) framework from [23] to clarify the mediating role that such AI systems play, how this impacts alignment with the goals of a range of parties, and identify conditions necessary for such systems to confer meaningful benefit.
Ida Mattsson, Mai-Lee Chang, Niloofar Nikookar et al.· AI and Ethics· 0 citations
Cognitive Chain-of-Thought (CoCoT) is introduced, a reasoning framework that structures vision-language-model reasoning through three cognitively inspired stages: Perception, Situation, and Norm, showing that structuring model reasoning through cognitively grounded stages enhances interpretability and social alignment,...
Eunkyu Park, Wesley Hanwen Deng, Gunhee Kim et al.· 3 citations
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