Challenge:
A care consortium sought to use AI to identify high-risk populations for targeted interventions. However, there were concerns about the potential for unintended consequences and patient safety risks.
Solution:
The care consortium implemented a rigorous risk management framework, including regular safety audits and model monitoring. They established clear protocols for responding to adverse events related to AI-driven decisions.
TrustVector's Value Proposition:
TrustVector's risk assessment and management services could have helped the care consortium identify and mitigate potential risks more effectively. Our expertise in AI safety and reliability could have strengthened their risk management framework.
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