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cleanFiles/bookmap_Building_Confidence_in_AI_with_SAP_en-US_learning-sap-com_lsc-prod.zip (MMCP-DROPZONE) - 2026-05-11T02:51:37.000Z

Why Responsible AI Matters

SAP’s Approach to Trusted AI

Agentic AI and New Security Challenges

Understanding Responsible AI and Trust

Is My Data Shared with Others?

Does AI Train on My Data?

Third-Party AI Providers and Transparency

Data Residency and Digital Sovereignty for AI

What Happens to Your Data in AI

Data Protection in AI Scenarios

Access and Safe Usage

AI Guardrails and Content Safety

How Your Data is Protected

Privacy Principles in AI

Data Lifecycle & Deletion

Customer Control Options

Global AI Regulations and SAP Compliance

When to Involve Experts

Privacy, Compliance and Customer Control

Building Confidence in AI with SAP

<p>In this course, you’ll explore the foundations of responsible AI in SAP environments and learn why trust, security, privacy, and governance are essential for enterprise AI adoption. You’ll discover how SAP supports trusted AI through secure architectures, governance mechanisms, and controlled access to AI models, and explore topics such as customer data handling, third-party AI providers, data residency, and digital sovereignty.</p>

This badge verifies that the learner has completed the course "Building Confidence in AI with SAP" on Beginner level. The learner is able to: understand what Responsible AI means and how ethics, security, and compliance work together to create trustworthy AI solutions, understand how AI is used in SAP environments and how data is handled across AI scenarios, explain key concepts related to security, privacy, ethics and compliance, including access control and governance, recognize how SAP supports data protection and regulatory requirements through policies, controls, and certifications, identify how customers control AI usage and when to involve experts for more complex or sensitive topics, build confidence in discussing AI responsibly and supporting trusted AI adoption in business contexts.