White Paper

Read this white paper to find out why we need AI standards and how graph technologies add context.

Toward AI Standards

Specs

By Amy E. Hodler

Available Formats: PDF - EN US, PDF - EN A4

Summary

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

Fill out the form to get your copy of Toward AI Standards: Why Context Is Critical for Artificial Intelligence.