In a world populated by artificial intelligence (AI) systems and artificial intelligent agents, integrity will be paramount.

Ideally, you prevent data integrity from being compromised. Prevention includes training, controls, events computer systems, enforcing the workflow, and other measures. The goal of training is every ...

With AI shaping research, misinformation risks are growing. How do we ensure that scientific integrity prevails?

Using confidentiality, integrity, and availability to classify data. To determine the level of protections applied to a system, base your classification on the most confidential data stored in the ...

“Good data integrity means having the clarity and capability to make accurate decisions. We've created a very unique risk model to finance broadband networks. We're trying to make significant ...

The FAIR principles also mean that research data are produced by taking into account the interoperability of information systems and the reuse of data. As open as possible, as closed as necessary.