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Risk Management for AI Chatbots

O'Reilly on Data

Doing so means giving the general public a freeform text box for interacting with your AI model. 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. That doesn’t sound so bad, right? So, what do you do?

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Managing risk in machine learning

O'Reilly on Data

The Future of Privacy Forum and Immuta recently released a report with some great suggestions on how one might approach machine learning projects with risk management in mind: When you’re working on a machine learning project, you need to employ a mix of data engineers, data scientists, and domain experts.

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AI as a growing child: How we can shape its future responsibly

CIO Business Intelligence

But as with any transformative technology, AI comes with risks chief among them, the perpetuation of biases and systemic inequities. Systems of influence At the most immediate level is the microsystem the developers, engineers, and users directly interacting with AI. While this democratization is exciting, it also comes with risks.

IT 124
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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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Managing The Risks Of Transporting Hazardous Liquids In 2025

BA Learnings

Market Growth : As industries like chemicals, mining, and energy recover and expand, the volume of hazardous liquids requiring transportation is set to rise, increasing the urgency for effective risk management strategies. Cross-Contamination : Improper cleaning of containers can lead to dangerous chemical interactions.

Risk 130
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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Model risk management. AI projects in financial services and health care.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs should consider placing these five AI bets in 2025.