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AI Ethics at SAP Course | Open SAP Free Courses with Certificates
Join this free online course to learn about the importance and principles of ethics in the context of artificial intelligence (AI). Discover how SAP implements AI ethics in the development, deployment, use, and sale of AI systems.
About the Course :
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. The speed at which the technology has moved into common usage has outpaced the necessary guidance from government policymakers regarding the sustainable and safe development of AI. For these reasons, the development, deployment, use, and sale of AI systems at SAP needs to be governed by a clear, ethical set of rules.
In this course, you’ll learn the importance and principles of AI ethics, how AI ethics is implemented at SAP, and which rules SAP employees need to follow during the development, deployment, use, and sale of AI systems.
Course Characteristics
- Starting from: January 17, 2023, 09:00 UTC.
- Duration: The course is open for 4 weeks
- Time: 2-4 hours in total
- Course assignment: You can take the course assignment at any time whilst the course is open.
- Course closure: February 15, 2023, 9:00 UTC
Course Content
Unit 1: Introduction to AI at SAP
Unit 2: AI ethics at SAP
Unit 3: The 3 pillars of SAP’s AI ethics policy
Unit 4: Operationalization of the AI ethics policy
Unit 5: Assessing the risk of AI use cases
Target Audience
- Artificial intelligence (AI) stakeholders who develop, deploy, use, sell, and interact with AI or are affected by it, both inside and outside of SAP
- Anyone interested in the topics of AI and machine learning as well as AI ethics and responsible AI
Prerequisites :
A basic understanding of AI and machine learning is an advantage
Certificate Requirements
- Gain a Record of Achievement by earning at least 50% of the maximum number of points from all graded assignments.
- Gain a Confirmation of Participation by completing at least 50% of the course material.
Here are the final exam questions and answers:
Question 1 What are the main components of SAP’s AI ethics guiding principles?
Note: There are 3 correct answers to this question.
- Technical principles that show SAP’s employees which technical solutions are allowed, and which are not
- Cross-area principles that emphasize teamwork between units.
- Foundational principles that make human rights and SAP’s customers and users the baseline for all considerations
- A relational principle that ensures that SAP engages with the wider societal challenges that come with AI
- Core principles that emphasize fairness, transparency, quality, and safety, as well as data protection and privacy
Question 2 :What is the purpose of the SAP Global AI Ethics policy?
- It explains how SAP’s AI ethics guiding principles came about and why they are important for our employees in AI development, deployment, and sale.
- It explains to developers and other stakeholders within SAP how ethical standards shall be implemented technically and which technical metrics must be achieved.
- It clarifies how SAP’s AI ethics guiding principles relate to daily work and which rules need to be obeyed in certain process steps.
- It provides technical and non-technical tools that support employees in implementing SAP’s AI ethics guiding principles during development, deployment, and sale.
Question 3:What are the three pillars of the SAP Global AI Ethics policy framework?
- Addressing Bias and Discrimination, Data Protection and Privacy, and Transparency and Explainability
- Human Agency and Oversight, Addressing Bias and Discrimination, and Transparency and Explainability
- Human Dignity, Addressing Bias and Discrimination, and Data Protection and Privacy
- Human Agency and Oversight, Addressing Bias and Discrimination, and Data Security
Question 4 :Who at SAP is responsible for assessing high-risk use cases?
- AI Ethics Steering Committee
- Certificated use case owners
- AI Ethics Advisory Panel
- Trustworthy AI Workstream
Question 5: How can you best ensure that AI systems are neither biased nor discriminatory towards marginalized groups?
Note: There are 2 correct answers to this question.
- Use inclusive data for training the algorithm.
- Review all decisions by a human to make sure there are no cases of discrimination.
- Remove any data during development and productive use that could reveal an individual’s association with a marginalized group (such as name or gender).
- Define appropriate fairness measures during development and monitor them during productive use.
Question 6: What does it mean to provide transparency and explainability of AI systems, as discussed in unit 3?
Note: There are 3 correct answers to this question.
- Publish technical information about the algorithm’s functioning for end users.
- Provide explanations for AI decisions to users and those affected by the decision.
- Document technical information about the data sets used during development and about the algorithms applied.
- Publish easy-to-understand information about the capabilities and limitations of the AI system.
- Publish the relevant source code.
Question 7 :How does SAP’s AI Factory approach relate to the SAP Global AI Ethics policy?
- There is no connection between the AI Factory approach and the SAP Global AI Ethics policy.
- The AI Factory approach has incorporated policy requirements according to their applicability in the respective stages.
- The SAP Global AI Ethics policy is organized in five stages, in accordance with the five stages of the AI Factory process.
- The individual stages of the AI Factory process prioritize different policy requirements that must be considered by different personas.
Question 8: Which of the following roles does the AI Ethics Handbook address?
Note: There are 3 correct answers to this question.
- Use case owners
- Data scientists
- HR business partners
- Corporate learning consultants
- Designers
Question 9: At SAP, what applies to so-called Red Line cases?
- Red Line cases are highlighted as such when sold to customers.
- As Red Line cases bear high risks, they are subject to closer examination by the AI Ethics Steering Committee.
- Red Line cases violate SAP’s ethical values and must not be developed further.
- Red Line cases bear risks, however, these can be mitigated by the respective development teams.
Question 10:At SAP, what must you consider when dealing with standard (low-risk) use cases?
Note: There are 2 correct answers to this question.
- While standard use cases bear no high risks from an ethical perspective, approval by the AI Ethics Office is still necessary.
- The use case owner must document the use case and risk assessment and provide that information upon request.
- While standard use cases bear no high risks from an ethical perspective, the use case owner must still ensure that the use case complies with the SAP Global AI Ethics policy.
- If the use case is classified as low-risk, ethical considerations are no longer relevant.
