Exploring Bias in Public Perception of Artificial Intelligence: A Criticality Map Analysis

被引：0

作者：

Brauner, Philipp ^{[1
]}

Hick, Alexander ^{[1
]}

Philipsen, Ralf ^{[1
]}

Ziefle, Martina ^{[1
]}

机构：

[1] Rhein Westfal TH Aachen, Aachen, Germany

来源：

ERCIM NEWS | 2023年 / 135期

关键词：

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

With the advent of ChatGPT, LaMD, and other large language models, we wanted to find out what the public expects from artificial intelligence (AI). For a vast number of topics, we measured where the expected likelihood of occurrence is (im)balanced with the evaluation. The resulting criticality map can inform researchers and policy makers about areas in need of particular action.

引用

页码：40 / 41

页数：2

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