Climate change applications of machine learning often lack the...
The CDS Monthly Research Feature |
Climate change applications of machine learning often lack the philosophical debates that characterize other scientific fields — they’re engineering problems demanding concrete solutions. CDS Assistant Professor of Psychology and Data Science Grace Lindsay recognized this distinction when she launched “5 Minute Papers on AI for the Planet,” a YouTube channel that distills complex research papers at the intersection of artificial intelligence and environmental science.
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Ask a chatbot for fashion advice in any language, and it will likely tell you to express your individual style or personal fit — even when many people would prefer practical tips about durability and timeless pieces that won’t break the bank. CDS PhD student Lily Zhang and her collaborators at Meta discovered this striking pattern across 21 state-of-the-art language models, revealing what they call an “algorithmic monoculture” that fails to represent the diversity of human preferences in their paper “Cultivating Pluralism in Algorithmic Monoculture: The Community Alignment Dataset.”
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Four-year-olds consistently outperform today’s most advanced language models at inferring causal relationships when the evidence points toward complex explanations. CDS PhD student Anthony GX-Chen discovered this surprising failure mode while testing whether AI systems could learn to discover causal structures the way scientists do, revealing that large language models inherit the same cognitive biases that limit adult reasoning.
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CDS is seeking innovative researchers and passionate educators to join our team. For those pushing the boundaries of data science research, our prestigious Faculty Fellow positions offer the opportunity to lead cutting-edge projects in areas like machine learning, responsible AI, and natural language processing. For educators passionate about shaping the next generation of data scientists, we have an opening for Clinical Faculty focused on teaching and curriculum development.
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