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Risk Management for AI Chatbots

O'Reilly on Data

Welcome to your company’s new AI risk management nightmare. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. The core idea of risk management is that you don’t win by saying “no” to everything. Why not take the extra time to test for problems?

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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What the Digital Operational Resilience Act means for you

CIO Business Intelligence

The regulation requires EU financial entities and their critical ICT providers to adopt comprehensive information and communications technology (ICT) risk management capabilities into their security processes. So, with no time to waste, where should they get started? Is your IT security infrastructure ready for future regulations?

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PODCAST: Making AI Real – Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower

bridgei2i

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

If this is a popular phrase in your company’s executive suite, risk-taking is a phantom virtue. To stay out of harm’s way, charter a few harmless initiatives — ones that aren’t likely to succeed, will pass the cool test if, in the off chance, they do happen to succeed, but won’t do much damage if they fail.

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Data Literacy for Responsible AI: Governance and Accountability

DataRobot

Throughout history, introducing innovations in fields like aviation and nuclear power to society required robust risk management frameworks. AI is no different, and by its nature, it demands a comprehensive approach to governance utilizing risk management. Step 1: Classify the AI Decision Type.

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Generative AI: Balancing security with innovation

CIO Business Intelligence

Established risk management framework to evaluate the use cases and validate the controls to manage relevant risks Continuous authentication and authorization to maintain the principles of least privilege and context of user entitlement.