Google's data collection can be a double-edged sword: helpful in some instances and too invasive in others. Here's how to ...

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

It’s been close to a decade since Amazon Web Services (AWS), Amazon’s cloud computing division, announced SageMaker, its platform to create, train, and deploy AI models. While in previous years AWS ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

Web2’s data monopolies lock users into centralized systems, limiting control over personal information and hindering competition. This decentralized AI personalization protocol offers an alternative.

This article provides an overview of privacy controls for consumer AI tools and BC-licensed tools. When Boston College faculty, staff, and students use generative AI tools, the most secure approach is ...

Behavox, an AI insights company that transforms structured and unstructured corporate data into insights that safeguard and enhance businesses, today announced the launch of its Data Risk Controls and ...

We've seen this repeated over and over: AI models are only as good as the data they’re trained on. The secret sauce is training your model on your proprietary data while ensuring that your data ...