AI adoption is quickly becoming more widespread, and organizations are swiftly adopting AI technology to achieve their goals. And while 94% of business leaders agree that AI is critical to success over the next 5 years, according to Deloitte’s State of AI in the Enterprise report, only 33% have aligned AI risk management with their organization’s broader risk management efforts
The first step to any risk-based approach is to establish an inventory of what you seek to manage. AI is no different, however managing AI systems raises new challenges for AI Governance teams to overcome. 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.
Senior Product Marketing Manager, AI Governance
OneTrust
Senior Product Manager, AI Governance
OneTrust
White Paper
Download this white paper to learn how to adapt your data governance program, by defining AI-specific policies, monitoring data usage, and centralizing enforcement.
Report
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Report
In this 5-part regulatory article series, OneTrust sponsored the IAPP to uncover the legal frameworks, policies, and historical context pertinent to AI governance across five jurisdictions: Singapore, Canada, the U.K., the U.S., and the EU.
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In this webinar, we’ll look at the AI development lifecycle and key considerations for governing each phase.
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Checklist
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Webinar
In this webinar we’ll look at the AI Governance landscape, key trends and challenges, and preview topics we’ll dive into throughout this masterclass.
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eBook
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Infographic
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eBook
With the use of AI proliferating at an exponential rate, the EU rolled out a comprehensive, industry-agnostic regulation that looks to minimize AI’s risk while maximizing its potential.
White Paper
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Webinar
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