59 citations · 68 across the 5 of their papers we have counts for
5 papers
Abstracted Away: Resisting Alienation and Ungrounded Abstraction in AI Research Communities
Vyoma Raman, Isabel O. Gallegos, Neha Srivathsa
Logics of abstraction in computational AI research often push important forms of knowledge and reflection aside: dominant standards of legitimacy separate from lived experience of…
Whose Values? Measuring the (Subjective) Expression of Basic Human Values in Social Media
Ziv Epstein, Farnaz Jahanbakhsh, Tiziano Piccardi +4
The value alignment of sociotechnical systems has become a central debate, but progress depends on how human values are perceived in the content these systems surface and how such…
Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects
Isabel O. Gallegos, Chen Shani, Weiyan Shi +4
As generative artificial intelligence (AI) enables the creation and dissemination of information at massive scale and speed, it is increasingly important to understand how people p…
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow +6
Large language models (LLMs) have shown remarkable advances in language generation and understanding but are also prone to exhibiting harmful social biases. While recognition of th…
Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow +6
Rapid advancements of large language models (LLMs) have enabled the processing, understanding, and generation of human-like text, with increasing integration into systems that touc…