Extend your data privacy, security, and governance programs into your use of AI
As AI adoption expands, businesses need to enact proactive AI governance to drive responsible use of data across the organization. Know where AI/ML is being used, built, or procured with an inventory of AI technology, MLOps integrations, and workflows for compliance and risk management.
As business stakeholders begin to embrace generative AI, enterprises require an AI governance framework that breaks down data siloes and ensures smooth oversight. Scale AI governance with lightweight intake assessments and surface potential risk for AI systems throughout the AI lifecycle.
Artificial intelligence introduces complex risks across your organization, from known risks across privacy, cybersecurity, and GRC to more nascent AI ethics risks such as model drift, fairness, and transparency. Assess AI against your business’ established responsible use policies as well as global regulatory requirements and frameworks to ensure effective oversight.
Building your AI inventory: Strategies for evolving privacy and risk management programs
In this webinar, we’ll talk about setting up an AI registry, assessing AI systems and their components for risk, and unpack strategies to avoid the pitfalls of repurposing records of processing to manage AI systems and address their unique risks.
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