White Paper

Toward AI Standards

Available Formats: PDF - EN US


The potential of artificial intelligence (AI) is expansive; it will be used in ways we cannot yet imagine.

We all have a duty to guide AI’s development to facilitate innovation and fair competition while guarding against bias.

This white paper explores why context is critical for AI standards. Read this paper to learn:

Download the White Paper

  • How graph technologies capture contextual information and make better predictions
  • Why ensuring fairness and minimizing bias is critical to increasing trust in AI
  • How graph-native learning on connected data supports explainability and increases accuracy

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