Real Examples of Why We Need Context for Responsible AI
By Jocelyn Hoppa
November 12, 2019 8 mins read
Read part one of this two-part series on responsible AI. Discover real-world examples of the myths,., biases and more that currently surround AI.
Explore: ai myths • AI standards • artificial intelligence • biased ai • data scientists • inappropriate ai • machine learning • national institute for standards and tools • neo4j • NIST
Toward AI Standards: Context Makes AI More Reliable and Trustworthy
By Jocelyn Hoppa
July 22, 2019 6 mins read
Discover why native graph technology is the key to making artificial intelligence and machine learning more reliable and trustworthy.
Explore: AI solutions • AI standards • contextual information • corporate fraud • data lineage • GDPR • graph technology • Knowledge Graph • machine learning • native graph
Toward AI Standards: Why Context Is Critical for Artificial Intelligence
By Bryce Merkl Sasaki
June 24, 2019 3 mins read
Learn what Neo4j CEO Emil Eifrem believes is the most critical component of both technical and ethical standards for AI – and how we might make it happen.
Explore: ai • AI standards • artificial intelligence • graph technology • Knowledge Graph • logic processing • machine learning • National Institute of Standards and Technology • NIST • Panama Papers
