Analyzing AI Bias

The Discourse of Terror and Sport Ahead of Paris 2024 Olympics

Dados Bibliográficos

ID3757684
AutoresTal Samuel-Azran (0000-0002-9501-2949, Sammy Ofer School of Communications at Reichman University, Herzliya, Israel), Ilan Manor (0000-0003-2039-3721, Ben-Gurion University of the Negev), Evyatar Yitzhak (Sammy Ofer School of Communications at Reichman University, Herzliya, Israel), Y Galily (0000-0001-5308-5675, Sammy Ofer School of Communications at Reichman University, Herzliya, Israel, autor correspondente)
Ano2024
Data de publicação2024-07-24
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoAmerican Behavioral Scientist (JOURNAL)
Identificadores do periódicoISSN: 0002-7642 • E-ISSN: 1552-3381
EditoraSAGE Publications Inc (PUBLISHER)
DOI10.1177/00027642241261265
OpenAlexW4400999091
IdiomaEN
Citações recebidas2
Referências citadas37

Sporting events have been the target of terrorist groups for decades due to their high profile. Since 9/11, a bias against Muslims has been evident in both traditional and social media with Muslims being depicted as likely perpetrators of attacks against sporting events. The 2024 Paris Olympics represents the first major sporting events in the age of generative artificial intelligence (AI) platforms. This study is the first to examine to what extent AI chatbots replicate anti-Islam bias with respect to terrorism and sporting events. The study is based on a series of "conversations" with chatbots on the popular platform "character.ai." The analysis reveals a persistent anti-Islam bias, with chatbots "explaining" that Islam is more prone to commit attacks because it is more violent in nature than other religions while also depicting Muslims as the most likely culprits of attacks against the Olympic Games. The study indicates that AI chatbots perpetuate the mediated anti-Islamist bias in an even more unanimous and authoritative tone than traditional and social media

Art · Character (mathematics) · Commit · Criminology · Football · Islam · Literature · Media studies · Political science · Sociology · Terrorism · Tone (literature) · Computer Science · Doping in Sports · Hate Speech and Cyberbullying Detection · History · Law · Psychology · Social Psychology · Sports Analytics and Performance