Computational governance: The key to building safe and compliant AI

The stakes are becoming increasingly high for companies developing AI in highly-regulated industries. In sectors such as healthcare and finance, compliance is not just a legal obligation, but a crucial aspect of building trust and integrity between organizations and their customers.

As machine learning models require ever more diverse data – often from multiple sources across different organizations – the need for a compliant solution increases. While developers rush to create the most sophisticated machine learning models, data custodians are searching for a means to make their data available to these developers – and therefore realizing its value.