Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health
Investigating Gender Stereotypes in Large Language Models via Social Determinants of Health explores This study explores gender biases in LLMs using social determinants of health to enhance bias evaluation methods.. Commercial viability score: 4/10 in NLP Bias Assessment.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisQueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion TasksViability: 2.0
- Builds On ThisAn Empirical Study of Collective Behaviors and Social Dynamics in Large Language Model AgentsViability: 1.0
- Higher ViabilityDual-Metric Evaluation of Social Bias in Large Language Models: Evidence from an Underrepresented Nepali Cultural ContextViability: 7.0
- Higher ViabilityAlignment Reduces Expressed but Not Encoded Gender Bias: A Unified Framework and StudyViability: 7.0
- Higher Viability