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Putting AI Ethics into Practice at SAP
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Welcome
5 min
Introducing the Main Concepts - AI Ethics at SAP
7 min
Explaining SAP's Guidelines and Policy: SAP's Global AI Ethics Framework
5 min
Governing AI Ethics at SAP: From Policy to Practice
5 min
Understanding Ethical Boundaries: When AI Goes Too Far
5 min
Ensuring Explainability in HR AI Systems - Transparent Decisions
5 min
Ensuring Fairness in HR AI Systems - Discrimination-Free Decisions
5 min
Managing Standard AI Use Cases - Ethics in Everyday AI
5 min
Integrating our Policy in the AI Lifecycle: AI Ethics Operationalization
5 min
Additional Reading Material
10 min
Downloads
10 min
Quiz
Content
Welcome
5 min
Introducing the Main Concepts - AI Ethics at SAP
7 min
Explaining SAP's Guidelines and Policy: SAP's Global AI Ethics Framework
5 min
Governing AI Ethics at SAP: From Policy to Practice
5 min
Understanding Ethical Boundaries: When AI Goes Too Far
5 min
Ensuring Explainability in HR AI Systems - Transparent Decisions
5 min
Ensuring Fairness in HR AI Systems - Discrimination-Free Decisions
5 min
Managing Standard AI Use Cases - Ethics in Everyday AI
5 min
Integrating our Policy in the AI Lifecycle: AI Ethics Operationalization
5 min
Additional Reading Material
10 min
Downloads
10 min
Quiz
Knowledge quiz
It's time to put what you've learned to the test, get 8 right to pass this unit.
1.
How was explainability achieved in the ‘Resume assessment’ AI use case?
There are two correct answers.
The AI system’s result (for example, ‘great match’) is supported by two match scores, namely ‘skills’ and ‘experience’.
The user can inspect the candidate’s skills and experience that fed into the skills and experience match scores.
The AI system provides a detailed narrative description of the candidate's personal life and background that influenced the assessment.
The AI system displays the candidate's social media posts and activity to provide additional context for the assessment result.
2.
What are examples of the ethical considerations that are reflected in SAP's guiding principles for AI ethics?
There are three correct answers.
Safety and security
Transparency and explainability
Awareness and literacy
Performance and optimization
Special protection of minors
3.
At SAP, what applies to so-called red line cases?
Choose the correct answer.
Red line cases violate SAP's ethical values and must not be developed further.
As red line cases bear high risks, they are subject to closer examination by the AI Ethics Steering Committee.
Red line cases bear risks; however, these can be mitigated by the respective development teams.
Red line cases are highlighted as such when sold to customers.
4.
Why did the AI Ethics Steering Committee decide to stop the ‘Real-time feedback on presentation skills’ AI use case?
There are two correct answers.
The use case carries too high a risk of discrimination if the system generates inappropriate suggestions based on an individual’s language, accent, or gender.
Emotion identification systems lack reliability and could lead to detrimental treatment and infringements of rights in work settings.
There was a lack of interest in the use case.
The AI system was too costly to maintain and operate.
5.
What is the purpose of the SAP Global AI Ethics policy?
Choose the correct answer.
It clarifies for employees how SAP's guiding principles for AI ethics relate to and should be applied in their work.
It explains to developers and other stakeholders within SAP how ethical standards shall be implemented technically and which technical metrics must be achieved.
It outlines SAP's advertising strategies for promoting AI-driven products to external customers.
It provides technical and non-technical tools that support employees in implementing SAP's guiding principles for AI ethics during development, deployment, and sale.
6.
What is true for stakeholders of the Business AI process?
Choose the correct answer.
In all stages and iterations of the Business AI process, stakeholders must be aware of the SAP Global AI Ethics policy and follow its requirements.
After an initial AI use case impact assessment in the early stages of the Business AI process, ethical considerations are no longer relevant for stakeholders.
If stakeholders have implemented all AI ethics requirements in a first iteration of the Business AI process, ethical considerations are no longer important in subsequent iterations.
Typically, only one stakeholder is responsible for ensuring that the AI use case adheres to the SAP Global AI Ethics policy.
7.
What is the purpose of SAP's external AI Ethics Advisory Panel?
Choose the correct answer.
The panel provides constructive, outside-in feedback, perspective, and strategic guidance to SAP on ethical AI.
The panel reviews all high-risk use cases at SAP.
The panel conducts in-depth auditing of SAP's governance mechanisms.
The panel conducts workshops for developers on how to develop responsible AI.
8.
What kind of information does the AI Ethics Handbook provide?
Choose the correct answer.
It explains how requirements in the SAP Global AI Ethics policy translate into responsibilities for each persona at each stage of the Business AI process.
It explains the Business AI process in detail.
It explains the SAP Global AI Ethics policy in detail.
It explains legal requirements in detail.
9.
What is important to consider when developing responsible AI systems?
There are three correct answers.
Development must be based on ethical principles and values.
Development must respect applicable laws and regulations.
Development must ensure state-of-the-art (technical) robustness.
Development must eliminate all foreseeable and unforeseeable risks associated with the AI system.
Development should always prioritize speed and innovation over transparency and accountability.
10.
In the context of the ‘Resume assessment’ AI use case, what did testing for algorithmic bias in terms of demographic attributes reveal?
Choose the correct answer.
It revealed a bias towards gender.
It revealed a bias towards ethnicity.
It revealed a bias towards religion.
It revealed a bias towards sexual orientation.