Security News > 2021 > May > How do we decide whether or not to trust AI systems?

These are two very different scenarios, but the same issue permeates both: How do we humans decide whether or not to trust a machine's recommendations?

This is the question that a new draft publication from the National Institute of Standards and Technology poses, with the goal of stimulating a discussion about how humans trust AI systems.

The focus of this latest publication is to understand how humans experience trust as they use or are affected by AI systems.

According to NIST's Brian Stanton, the issue is whether human trust in AI systems is measurable - and if so, how to measure it accurately and appropriately.

The document is largely based on past research into trust, beginning with the integral role of trust in human history and how it has shaped our cognitive processes.

The publication proposes a list of nine factors that contribute to a person's potential trust in an AI system.

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