When Your AI Professor Grades You Invisible

Episode 15 of AI Ethics with Fexingo explores the hidden world of automated grading in higher education. Lucas and Luna unpack a 2025 Stanford study that found AI grading systems penalize non-native English speakers by up to 15% in essay evaluations. They dive into the specific case of Arizona State University's 2024 pilot of an automated essay scoring tool, which led to a 23% higher fail rate among first-generation students. The conversation covers the bias baked into training data, the lack of transparency in commercial grading algorithms, and what universities can do to ensure fair assessment. Tune in for a concrete look at how invisible algorithms are shaping student outcomes and what it means for the future of education. #AIEthics #AutomatedGrading #EducationBias #HigherEd #StanfordStudy #ArizonaStateUniversity #AlgorithmicBias #EdTech #StudentFairness #EssayScoring #NonNativeSpeakers #FirstGenerationStudents #Transparency #ResponsibleAI #Technology #FexingoBusiness #BusinessPodcast #EthicsInTech Keep every episode free: buymeacoffee.com/fexingo