How can risk foresight lead to AI insight


When it can take only one mistake — or a perception of a mistake — for a user to stop trusting AI, how can you earn and sustain user trust?

Every challenge in business is an opportunity for AI. However, organizations are holding back in leveraging these opportunities because of mistrust in AI — and so, being cautiously selective in where it is used.

Trust is the foundation on which organizations can build stakeholder confidence and active participation with their AI systems. However, in this era of instantly accessible information, mistakes can be costly, and second chances are harder to come by. Organizations who want to succeed in an AI world must embed a risk-optimization mindset across the AI lifecycle. They do this by elevating risk from a mere responsive function to a powerful, dynamic and future-facing enabler for building trust.

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