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Binbin Sun,Shan Pei,Qingjin Wang et al. Binbin Sun et al.
The prevalence of artificial intelligence (AI) increases social concern surrounding unethical consumer behavior in human-AI interaction. Existing research has mainly focused on anthropomorphic characteristics of AI and unethical consumer be...
Xukang Wang,Ying Cheng Wu,Xueliang Ji et al. Xukang Wang et al.
Introduction: Algorithmic decision-making systems are widely used in various sectors, including criminal justice, employment, and education. While these systems are celebrated for their potential to enhance efficiency and...
Rudolf W M Keunen,Sayonara M Daal,Geert Jan Romers et al. Rudolf W M Keunen et al.
Objective: The aim of the work described here was to assess the diagnostic accuracy of a new algorithm (SGA-a) for time-domain analysis of transcranial Doppler audio signals to discriminate presumed solid and gaseous micr...
Yochanan E Bigman,Desman Wilson,Mads N Arnestad et al. Yochanan E Bigman et al.
Companies and governments are using algorithms to improve decision-making for hiring, medical treatments, and parole. The use of algorithms holds promise for overcoming human biases in decision-making, but they frequently make decisions tha...
Arthur S Jago,Kristin Laurin Arthur S Jago
Although their implementation has inspired optimism in many domains, algorithms can both systematize discrimination and obscure its presence. In seven studies, we test the hypothesis that people instead tend to assume algorithms discriminat...
Andrea Bonezzi,Massimiliano Ostinelli Andrea Bonezzi
Algorithms have been the subject of a heated debate regarding their potential to yield biased decisions. Prior research has focused on documenting algorithmic bias and discussing its origins from a technical standpoint. We look at algorithm...
Jon Kleinberg,Jens Ludwig,Sendhil Mullainathan et al. Jon Kleinberg et al.
Preventing discrimination requires that we have means of detecting it, and this can be enormously difficult when human beings are making the underlying decisions. As applied today, algorithms can increase the risk of discrimination. But as ...
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