Complete AI model risk management framework guide
AI Model Risk Management involves detecting, mitigating, and addressing AI threats
AI model risk management targets vulnerabilities and threats to protect AI systems
AI model risk management can help organizations maximize AI systems’ potential without compromising ethics or security
AI systems and organisations can suffer financial losses, reputational damage, regulatory penalties, public confidence erosion
AI systems manage sensitive personal data, which can lead to privacy breaches and regulatory and legal difficulties for organisation
Threat actors may steal, reverse engineer, or manipulate AI models. AI models’ architecture, weights
Hackers trick generative AI systems into disclosing sensitive data, spreading falsehoods, or worse
IBM watsonx.governance lets organizations administer, manage, and track AI initiatives in one place
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