In this poster, we discuss popular LLM models- in this case LLM Models like LLAMA 2, Gemma and Mistral 7B- for indirect and direct biases through 3 open-sourced and research-oriented datasets with over 1000 prompts in total on fairness factors like gender and ethnicity through prompt injection techniques.

Understanding Gender and Ethnicity Bias in Large Language Models

Francesco Gargiulo
2024

Abstract

In this poster, we discuss popular LLM models- in this case LLM Models like LLAMA 2, Gemma and Mistral 7B- for indirect and direct biases through 3 open-sourced and research-oriented datasets with over 1000 prompts in total on fairness factors like gender and ethnicity through prompt injection techniques.
2024
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
LLM
File in questo prodotto:
File Dimensione Formato  
3701268.3701287.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 597.31 kB
Formato Adobe PDF
597.31 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/565485
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact