
Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Elevating Ethical AI through Documentation
This chapter explores advancements in model and data cards aimed at enhancing transparency in AI development. It emphasizes the importance of comprehensive documentation and automated metrics to address biases in datasets, while advocating for proactive ethical practices. The discussion highlights the complexities of dataset curation and the implications of biased training data, underscoring the necessity for diverse representation in AI systems.
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