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SAP focuses on embedding artificial intelligence (AI) into enterprise applications at scale to automate and enhance business processes.
Solve complex business problems with artificial intelligence
Member of the Executive Board of SAP SE
SAP Product Engineering
With a powerful technology like Artificial Intelligence (AI) comes also great responsibility: Our customers trust in our ability to build, deploy, and use AI in a responsible and ethical way – and we do so by adhering to strict principles. By integrating AI capabilities into our solutions, we aim to provide unbiased and sustainable support to people.
Our brand-new SAP AI Ethics Handbook guides how to apply the SAP AI Policy.
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 Global AI Ethics Policy
Learn how we ensure to build ethical, responsible and trustworthy AI technology.
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
Prof. Emma Ruttkamp-Bloem
Professor and Head of the Department of Philosophy, Faculty of Humanities at the University of Pretoria
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, SAP
Chief Sustainability Officer
Legal Department Manager / German
Labor Relations, Labor & Social Law
Global Head of Artificial Intelligence,
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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