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12min chapter
Suspicion machines ⚙️
Practical AI: Machine Learning, Data Science, LLM
Biased Data and Model Performance
This chapter explores the impact of biased data on model accuracy and effectiveness, focusing on a fraud detection model in Rotterdam. The discussion includes an analysis of the model's performance, highlighting disparities in who gets flagged and the potential influence of the selection process. The speakers also address the importance of algorithmic fairness and responsible data practices in creating ethical AI systems.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode