students
影響を受けたインシデント
インシデント 4667 レポート
AI-Generated-Text-Detection Tools Reported for High Error Rates
2023-01-03
Models developed to detect whether text generation AI was used such as AI Text Classifier and GPTZero reportedly contained high rates of false positive and false negative, such as mistakenly flagging Shakespeare's works.
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Sound Intelligence's Aggression Detector Misidentified Innocuous Sounds
2019-06-25
Sound Intelligence's "aggression detection" algorithm deployed by schools reportedly contained high rates of false positive, misclassifying laughing, coughing, cheering, and loud discussions.
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Algorithmic Teacher Evaluation Program Failed Student Outcome Goals and Allegedly Caused Harm Against Teachers
2009-09-01
Gates-Foundation-funded Intensive Partnerships for Effective Teaching Initiative’s algorithmic program to assess teacher performance reportedly failed to achieve its goals for student outcomes, particularly for minority students, and was criticized for potentially causing harm against teachers.
MásIncidents involved as Deployer
インシデント 33914 レポート
Open-Source Generative Models Abused by Students to Cheat on Assignments and Exams
2022-09-15
Students were reportedly using open-source text generative models such as GPT-3 and ChatGPT to complete school assignments and exams such as writing reports, essays.
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