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Gain insights into Causal AI from blogs, white papers, case studies, webinars, and more.

Blog

Read our blogs to learn more about the newest topics in Causality.

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Enterprise decision making needs more than LLMs

Following the hype around large language models (LLMs), tools and applications, the question remains, how many enterprise problems today can actually be solved by ChatGPT?

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Confounders: machine learning’s blindspot

9 out of 10 machine learning projects never make it beyond an experimental phase and into production. One key factor is that machine learning algorithms can’t identify “confounders”. 

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Explainable AI (XAI) doesn’t explain enough

Current XAI approaches only provide post-hoc explainability. Causal AI generates superior ante-hoc (before the event) explainability.

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Featured research

Our Causal AI research papers, AI news and events. causaLens covers the latest insights into Causal AI machine learning and causal inference. Our diverse team of researchers have published papers at NeurIPS, ICML, UAI, Nature Neuroscience, and other top outlets. Find a sample of our publicly accessible academic work below.

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A Causal Analysis of Harm

Defining harm is essential for dealing with the many legal and regulatory issues around the growing integration of autonomous systems in society. Consider, for example, the question of harm in accidents involving self-driving cars.

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Domain Knowledge in A*-Based Causal Discovery

Causal discovery has become a vital tool for scientists and practitioners wanting to discover causal relationships from observational data. While most previous approaches to causal discovery have implicitly assumed

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Equality of Effort via Algorithmic Recourse

AI systems are increasingly used in many socially significant applications, such as loan approval, hiring decisions, legal processes, and healthcare, sometimes encoding existing human

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The Causal AI Conference 2023

The time has come to bring the causal AI community together again to showcase the foundations for scaling the global adoption of trustworthy AI. Learn from those already using Causal AI at The Causal AI Conference 2023 – live in New York!

Register for the Causal AI conference

Featured Papers

Explore Causal AI applications

Next Generation A/B Testing powered by Causal AI

Learn about the next generation of A/B testing that is powered by Causal AI. Delivering virtual experiments.

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AI Fairness and Causality

Chances are your organization doesn’t trust AI systems to support business-critical decisions. Why not? In a nutshell, today’s stock of machine learning systems are not trustworthy.

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Explainable AI (XAI) doesn’t explain enough

Current XAI approaches only provide post-hoc explainability. Causal AI generates superior ante-hoc (before the event) explainability.

Read more