Exploring Toxic and Hate Bias in Large Language Models
 |
 |
@courseproject{munoz2324-ethicsofai20232024,
abstract = {With the advent of generative AI, numerous applications have adopted strategies based on Large Language Models (LLMs) to tackle various NLP tasks. Many inside the scientific community highlights the inherent toxic and hate biases present in these LLMs, potentially leading to various social consequences and affect many persons in different ways. The amount of studies addressing this issue is increasing, however many do not agree with sociologists in robust standards or methodologies. Moreover, as more companies recognize the potential of LLMs-based applications, there’s a risk that they may overlook these issues. In the following project we try to gather and expose the main techniques, methodologies, standards and datasets used in order to address the exploration of bias in LLMs.},
apice = {Munoz2324},
author = {Álvaro Esteban Muñoz},
howpublished = {Ethics of AI, A.Y. 2023/2024},
sort = {classic},
supervisor = {Calegari, Roberta},
title = {Exploring Toxic and Hate Bias in Large Language Models},
type = {Standard Project},
url = {https://dvcs.apice.unibo.it/pika-lab/courses/ai-ethics/projects/munoz-ay2324}
}
abstract = {With the advent of generative AI, numerous applications have adopted strategies based on Large Language Models (LLMs) to tackle various NLP tasks. Many inside the scientific community highlights the inherent toxic and hate biases present in these LLMs, potentially leading to various social consequences and affect many persons in different ways. The amount of studies addressing this issue is increasing, however many do not agree with sociologists in robust standards or methodologies. Moreover, as more companies recognize the potential of LLMs-based applications, there’s a risk that they may overlook these issues. In the following project we try to gather and expose the main techniques, methodologies, standards and datasets used in order to address the exploration of bias in LLMs.},
apice = {Munoz2324},
author = {Álvaro Esteban Muñoz},
howpublished = {Ethics of AI, A.Y. 2023/2024},
sort = {classic},
supervisor = {Calegari, Roberta},
title = {Exploring Toxic and Hate Bias in Large Language Models},
type = {Standard Project},
url = {https://dvcs.apice.unibo.it/pika-lab/courses/ai-ethics/projects/munoz-ay2324}
}