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<description>Big ideas in machine learning, simply explained</description>
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<title>Datasets Have Worldviews</title>
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<link>https://pair.withgoogle.com/explorables/dataset-worldviews/</link>
<pubDate>Fri, 28 Jan 2022 00:00:00 GMT</pubDate>
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<title>Are Model Predictions Probabilities?</title>
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<a href="https://pair.withgoogle.com/explorables/uncertainty-calibration/">
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<title>Can a Model Be Differentially Private and Fair?</title>
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<title>What Have Language Models Learned?</title>
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<pubDate>Wed, 28 Jul 2021 00:00:00 GMT</pubDate>
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<title>Measuring Diversity</title>
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<pubDate>Mon, 01 Mar 2021 00:00:00 GMT</pubDate>
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<title>Why Some Models Leak Data</title>
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<link>https://pair.withgoogle.com/explorables/data-leak/</link>
<pubDate>Tue, 01 Dec 2020 00:00:00 GMT</pubDate>
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<item>
<title>Measuring Fairness </title>
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<a href="https://pair.withgoogle.com/explorables/measuring-fairness/">
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<link>https://pair.withgoogle.com/explorables/measuring-fairness/</link>
<pubDate>Sat, 01 May 2021 00:00:00 GMT</pubDate>
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<title>Hidden Bias</title>
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<pubDate>Fri, 01 May 2020 00:00:00 GMT</pubDate>
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<title>How randomized response can help collect sensitive information responsibly</title>
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<pubDate>Tue, 01 Sep 2020 00:00:00 GMT</pubDate>
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