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13min chapter
Sasha Luccioni: Connecting the Dots Between AI's Environmental and Social Impacts
The Gradient: Perspectives on AI
Exploring Biases in AI Models and Image Text Outputs
The chapter delves into the biases present in AI models, especially societal biases in text and image models, emphasizing how specific prompts can reinforce biases and the lack of diversity in default outputs. Various studies are referenced to highlight how biases are amplified and stereotypes validated through AI models, with a focus on gender and ethnicity biases. The discussion extends to the technical aspects of analyzing biases in AI models and the implications of biased textual descriptions associated with images on clustering and understanding demographics.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode