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Found 9 papers, 5 papers with code
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps
The use of words to convey speaker's intent is traditionally distinguished from the `mention' of words for quoting what someone said, or pointing out properties of a word.
AnthroScore: A Computational Linguistic Measure of Anthropomorphism
Anthropomorphism, or the attribution of human-like characteristics to non-human entities, has shaped conversations about the impacts and possibilities of technology.
CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations
Recent work has aimed to capture nuances of human behavior by using LLMs to simulate responses from particular demographics in settings like social science experiments and public opinion surveys.
The Surveillance AI Pipeline
Moreover, the majority of these technologies specifically enable extracting data about human bodies and body parts.
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models
To recognize and mitigate harms from large language models (LLMs), we need to understand the prevalence and nuances of stereotypes in LLM outputs.
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
For example, we find cases of prompting for basic traits or social roles resulting in images reinforcing whiteness as ideal, prompting for occupations resulting in amplification of racial and gender disparities, and prompting for objects resulting in reification of American norms.
Ethical and social risks of harm from Language Models
We discuss the points of origin of different risks and point to potential mitigation approaches.
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms
Many modern machine learning algorithms mitigate bias by enforcing fairness constraints across coarsely-defined groups related to a sensitive attribute like gender or race.
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits
Optimizing lower-body exoskeleton walking gaits for user comfort requires understanding users' preferences over a high-dimensional gait parameter space.
