Pearson – Shadow AI
English | Tutorial | Size: 1.13 GB
Combating Shadow Artificial Intelligence without Impacting Productivity
What you’ll learn
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Assess the risks of Shadow AI and potential impacts to your organization.
Explore methods for identifying Shadow AI and adopting mitigation policies.
Learn through hands-on use cases and see real-world workflows.
Misuse of AI can lead to training models on your sensitive data, exposure of sensitive data, and unwanted actions occurring within the organization. AI is changing our world, and every organization is struggling to keep up with the speed of adoption. Employees are just using AI without thinking about the risk of data loss, compliance issues, and possible ethical violations. Organizations need “deny first” policies that only allow validated and approved AI in a secure manner. This concerns every aspect of the organization, from collaboration to building technology.
This 4-hour training will provide the knowledge you need to assess your organization’s risks but also supply real-world examples for how to build AI policies and enforce responsible adoption of AI. Also included are methods for identifying, evaluating, and provisioning AI with little disruption in business operations. Expect a blend of business and tactical technical recommendations.
What you’ll learn and how you can apply it
How to develop and enforce an AI adoption policy based on your business objectives
How to control AI adoption to only approved technology and acceptable usage
How to evaluate AI to add or remove it from your approved list of AI technology
Examples of where AI is showing up and how organizations are adopting
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