The Causal AI Community Today and Beyond

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Presented by

Maksim Sipos, PhD

About this talk

The Causal AI Conference 2022: The Causal AI Community Today and Beyond Max Sipos CTO, Co-Founder, causaLens Conventional AI approaches, such as generative language models, generate data based on correlations. Causal AI instead, attempts to discover the accurate data-generating process which underpins the mechanism of cause and effect in the world. This is necessary for the accurate application of AI via scenario modelling and interventional and counterfactual reasoning in complex systems, such as modern economies. Deploying Causal AI in the enterprise is fraught with difficulties that the community has started to address today. In this talk, we will first discuss the necessary interfaces that permit Causal AI systems to cooperate in the enterprise. We will also discuss how to put Causal AI into the hands of the business user in the most efficient way possible, through developing suitable user interfaces and advances in explainable and robust AI. Finally, we will discuss the future challenges ahead of us, and where Causal AI will fit in the rapidly evolving AI landscape.
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causaLens is the pioneer of Causal AI—a giant leap in machine intelligence. Today’s machine learning algorithms extract correlations from data and predict outcomes based on patterns in past data. Correlations are useful for making predictions, but they’re of little use for decisions. Causal AI goes beyond predictions by understanding the actual causes behind an outcome and quantifying the impact of different interventions. It is the only form of machine intelligence that can answer “Why?”. causaLens builds Causal AI-powered products that empower all users to make superior decisions and drive business value. Leading organisations across a wide range of industries trust causaLens with their most important decisions.