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Algorithmic Bias in Generative AI
This chapter examines the implications of algorithmic bias in generative AI for critical pedagogy, inclusion, and equity in education. This chapter explores how generative AI tools, increasingly prevalent in educational settings, can perpetuate cultural, gender, racial, socioeconomic, and accessibility biases due to skewed educational data and design ...Funda Nayır, Tamer Sarı
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A Survey on Bias and Fairness in Machine Learning
ACM Computing Surveys, 2022Fred Morstatter, Kristina Lerman
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Mutation bias reflects natural selection in Arabidopsis thaliana
Nature, 2022J Grey Monroe +2 more
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Key role of chemistry versus bias in electrocatalytic oxygen evolution
Nature, 2020Hong Nhan Nong, Arno Bergmann, Rik Mom
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Algorithmic Bias in Facial Recognition
This paper presents a self-directed research study investigating algorithmic bias in facial recognition systems. It examines how skin tone may influence recognition accuracy by testing a custom-labeled dataset of 100 publicly sourced facial images using freely available facial recognition tools.openaire +1 more source
Social Implications of Algorithmic Bias
2020Algorithms are becoming very potent, powerful tools. They regulate increasing number of parts of social life, economics, politics; they penetrate deeper and deeper into social relations, and personal life of each individual. Social scientists stress the performativity of algorithms; they do not see them as just mathematical, computational procedures ...
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