Qalabka waxaa laga yaqaan "Power Struggles Buried in AI Responses".

Authors:

(1) Evan Shieh, The Young Data Scientists League ([email protected]);

(2) Faye-Marie Vassel, University of Stanford;

(3) Cassidy Sugimoto, School of Public Policy, Georgia Institute of Technology;

(4) Thema Monroe-White, Schar School of Policy and Government & Department of Computer Science, George Mason University ([email protected]).

Qalabka Left

Qalabka iyo 1 Introduction

1.1 Dhammaan iyo Dhammaan

2 Shuruudaha iyo Shuruudaha

2.1 Proxies Identity Textual iyo Qalabka Socio-Psychological

2.2 Modeling jilicsan, kharashka jilicsan, iyo jilicsan

3 Qalabka

3.1 Qalabka dhismaha

3.2 Qalabka dhismaha

3.3 Qalabka Stereotyping

4 Discussions, adeegyada, iyo references

SUPPLEMENTAL MATERIALS

Qalabka dhismaha iyo intersectionality

B. Qalabka Technical

B.1 Modeling jilicsan iyo dhismaha jilicsan

Qalabka B2

B.3 Data Mining Automated ee Textual Cues

B.4 Qalabka Ratio

Qalabka Qalabka Qalabka

B.6 Median Racialized Subordination Ratio waaweyn

B.7 Cues Extended for Stereotype Analysis (Luuqaha ugu badan ee loo yaqaan "Stereotype Analysis")

B.8 Taageerada Statistics

C. Qalabka ugu badan

C.1 Waqtiga ugu horeysay ee LM per Race

C.2 Qalabka ugu fiican ee Texts Full Synthetic

D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D. D

D.1 Data Sheet for Laissez-Faire Prompts Dataset

Qalabka dhismaha iyo intersectionality

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