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bookmap_Putting_AI_Ethics_into_Practice_at_SAP_en-US_learning-sap-com_lsc-prod_batchid_536442 (1).zip (BUILDER-INGRESS) - 2026-07-15T04:13:47.000Z

Welcome

Introducing the Main Concepts - AI Ethics at SAP

Explaining SAP's Guidelines and Policy: SAP's Global AI Ethics Framework

Governing AI Ethics at SAP: From Policy to Practice

Understanding Ethical Boundaries: When AI Goes Too Far

Ensuring Explainability in HR AI Systems - Transparent Decisions

Ensuring Fairness in HR AI Systems - Discrimination-Free Decisions

Managing Standard AI Use Cases - Ethics in Everyday AI

Integrating our Policy in the AI Lifecycle: AI Ethics Operationalization

Recognizing Ethical Risks in Agentic AI Systems

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Putting AI Ethics into Practice at SAP

SAP believes that artificial intelligence (AI) has the potential to unlock all kinds of opportunities for businesses, governments, and society. However, AI also has the potential to create economic, political, and social challenges. Many people are concerned about the impact of AI on their lives as well as the associated uncertainty and risks. SAP acknowledges AI’s profound impact on decisions, fairness, transparency, privacy, and human dignity. For this reason, the development, deployment, use, and sale of AI systems at SAP is governed by a clear, ethical set of rules that takes into account technological advancements and the evolving regulatory landscape.
In this free online course, you’ll learn the importance and principles of AI ethics, how SAP set up an ethics governance framework, and which rules SAP employees need to follow during the development, deployment, use, and sale of AI systems.

This badge verifies that the learner has completed the course "Putting AI Ethics into Practice at SAP" on Beginner level. The learner is able to understand the importance and principles of AI ethics, explain SAP’s AI ethics governance framework, identify the rules that SAP employees need to follow during the development, deployment, use, and sale of AI systems, name examples of how ethical requirements can be technically implemented in AI systems.