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CSC108-Weeks-12-13 Podcast
by CSC108-Weeks-12-13 Podcast
Explain ethics and bias in machine learning for beginners. Include how to apply ethical reasoning to ML use cases. Include critical real-world applications using fairness, transparency, and accountability frameworks. Include proposals for mitigations for algorithmic bias.
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Ethics and Bias in Machine Learning
Explore how ethical reasoning guides the development of fair and trustworthy machine learning systems. We'll break down real-world impacts, challenges in fairness, and practical steps to reduce bias across critical domains. Michael Thompson brings clarity and real examples to these vital discussions.
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Explain ethics and bias in machine learning for beginners. Include how to apply ethical reasoning to ML use cases. Include critical real-world applications using fairness, transparency, and accountability frameworks. Include proposals for mitigations for algorithmic bias.
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CSC108-Weeks-12-13 Podcast
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