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Solve complex societal problems with artificial intelligence
SAP focuses on developing artificial intelligence (AI) to improve people’s lives by helping protect the environment and build fairer societies.
Chief Financial Officer
“SAP considers the ethical use of data a core value. We want to create software that enables the intelligent enterprise and actually improves people’s lives. Such principles will serve as the basis to make AI a technology that augments human talent.”
SAP Global AI Ethics Policy
Learn how we ensure to build ethical, responsible and trustworthy AI technology.
SAP’s guiding principles for artificial intelligence (AI) We are driven by our values We enable business beyond bias We strive for transparency and integrity in all that we do We uphold quality and safety standards We place data protection and privacy at our core We engage with the wider societal challenges of AI
SAP AI Ethics Advisory Panel
Chair of Systematic Theology (Ethics)
University of Erlangen-Nuremberg
Lecturer in Public Policy and Law
Consultant at Intelligent Biology
Affiliated Scholar at Georgetown University Medical Center
Honorary Research Associate at University College London
Founding figure of ICANN
Co-founder of STASH
SAP AI Ethics Steering Committee
J G Chirapurath
Chief Marketing and Solutions Officer
Data Protection Officer
Head of Data Protection and Privacy
Vice President for Artificial Intelligence Technology
Global Head of Government Affairs
Head of Global Legal
Commercial and Operations
Global Head of Transformational Change & Future of Work
Chief Sustainability Officer
Legal Department Manager / German
Labor Relations, Labor & Social Law
Global Head of Artificial Intelligence,
VP, Head of Technology Office
New Ventures and Technologies
VP Customer Data Office
Head of Intelligent Enterprise and Cross Architecture
Head of Quality, Security and Production
Senior Research Scientist at SAP Machine Learning Research
Preserve privacy in machine learning
Review approaches for learning as much as possible from a crowd, without revealing information from an individual member, in collaborative machine learning.
Senior Researcher of Machine Learning
Implement a private federated learning approach
Learn how federated learning is helping safeguard privacy in machine learning by preventing the tracing of individual clients contributing to the model.
Machine Learning Research
Meet privacy requirements with a private cloud
See how using a virtual private cloud infrastructure can help you handle Big Data effectively, while establishing robust data safeguarding measures.
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