When to Trust Robots with Decisions, and When Not To

When to Trust Robots with Decisions, and When Not To

By Fouad Bendris

Use this framework to know when to hand over control.

Prediction errors in healthcare can also have significant costs. For example, failing to predict diabetes when it exists, a false negative, could result in severe outcomes such as the loss of a limb. False positives could result in prescribing medication or conducting tests when none are needed …

Fouad Bendris’s insight:
Smarter and more adaptive machines are rapidly becoming as much a part of our lives as the internet, and more of our decisions are being handed over to intelligent algorithms that learn from ever-increasing volumes and varieties of data !

Source:: Strategy & Governance

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