On the Importance of Simpson’s Paradox and Systems Theory in AI

Summary

International organizations and governments across the globe have been working to develop frameworks that foster responsible AI. In this open letter to the National Institute of Standards and Technology (NIST), Neo4j provides feedback on its AI risk management framework – the first of its kind in the United States.

Discover why measuring accuracy isn’t always as straightforward as it might seem, and what Simpson’s Paradox has to say about building equitable AI systems. Context-driven AI can improve governance, inclusivity, and data quality, but only when we think critically about how to use technology in ways that serve our ethical priorities.

Read the open letter to learn:

• Why it’s possible to draw opposite conclusions from the same data
• How to use accuracy metrics and data provenance to create safer AI
• How systems thinking can improve the outcomes of AI systems

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On the Importance of Simpson’s Paradox and Systems Theory in AI today.