BriefGPT.xyz
Nov, 2022
Casual Conversations v2: 设计一个大型的基于同意的数据集,用于测量算法偏差和鲁棒性
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
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Caner Hazirbas, Yejin Bang, Tiezheng Yu, Parisa Assar, Bilal Porgali...
TL;DR
本文提供了一个设计分类和子分类的方法,以便收集一个全面的数据集,以用于测试和开发鲁棒和公平的AI系统。
Abstract
Developing robust and fair
ai systems
require
datasets
with comprehensive set of
labels
that can help ensure the validity and legitimacy o
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