<h2>Anchors as Explanations</h2>

<p>We welcome back <a href="https://homes.cs.washington.edu/~marcotcr/">Marco Tulio Ribeiro</a> to discuss research he has done since our original discussion on <a href="https://dataskeptic.com/blog/episodes/2016/trusting-machine-learning-models-with-lime">LIME</a>.</p>

<p>In particular, we ask the question <a href="https://homes.cs.washington.edu/~marcotcr/acl19_implication.pdf">Are Red Roses Red?</a> and discuss how <a href="https://homes.cs.washington.edu/~marcotcr/aaai18.pdf">Anchors</a> provide high precision model-agnostic explanations.</p>

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<p>Please take our <a href="https://docs.google.com/forms/d/e/1FAIpQLSc7SbmG04zJFxrDsMH0uIm1geqKwDSJ6P3gq3oGl_9T251Pww/viewform">listener survey</a>.</p>
