With the folks over at the Practical AI podcast I talked about how to tackle robustness, fairness, and explainability with Causal AI. Check out the episode here:



<audio src="https://op3.dev/e/https://cdn.changelog.com/uploads/practicalai/220/practical-ai-220.mp3" preload="none" class="changelog-episode" controls></audio><a href="https://changelog.com/practicalai/220">Practical AI 220: Causal inference</a> – Listen on <a href="https://changelog.com/">Changelog.com</a><a href="//cdn.changelog.com/embed.js">//cdn.changelog.com/embed.js</a>

With the folks over at the Practical AI podcast I talked about how to tackle robustness, fairness, and explainability with Causal AI. Check out the episode here: Practical AI 220: Causal inference – Listen on Changelog.com//cdn.changelog.com/embed.js

With the folks over at the Practical AI podcast I talked about how to tackle robustness, fairness, and explainability with Causal AI. Check out the episode here:



<a href="https://changelog.com/practicalai/220" rel="noopener noreferrer">Practical AI 220: Causal inference</a> – Listen on <a href="https://changelog.com/" rel="noopener noreferrer">Changelog.com</a><a href="//cdn.changelog.com/embed.js" rel="noopener noreferrer">//cdn.changelog.com/embed.js</a>

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Paul Hünermund, Ph.D.

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