A sobering talk about the need for ethical data for AI models with Phoebe Yao
Beyond The Prompt - How to use AI in your company
Ethics and Challenges in AI Data Labeling
This chapter explores the ethical considerations in AI data handling, particularly focusing on data labeling practices and the implications for workers. It discusses the struggles faced by data labelers, including communication gaps and the power dynamics that often leave them undervalued. The chapter calls for urgent ethical standards in the AI industry to protect workers' livelihoods while emphasizing the need for skilled and diverse contributions in model training.
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