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Waveform: The MKBHD Podcast

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Ethics and Implications of Data Sourcing in AI Development

This chapter explores the ethical dilemmas associated with reusing trained models and datasets in machine learning, including data sourcing and transparency issues. It highlights the environmental impacts of re-training models and examines partnerships between tech companies and media outlets that affect industry data practices.

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