AI Ethics
SAP focuses on embedding artificial intelligence (AI) into enterprise applications at scale to automate and enhance business processes.
AI Ethics Handbook
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 design for people
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
Peter Dabrock
Chair of Systematic Theology (Ethics)
University of Erlangen-Nuremberg
Susan Liautaud
Lecturer in Public Policy and Law
Stanford University
Nicholas Wright
Consultant at Intelligent Biology
Affiliated Scholar at Georgetown University Medical Center
Honorary Research Associate at University College London
Paul Twomey
Cofounder, Stash.Global
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
SAP
Mathias Cellarius
Data Protection Officer
Head of Data Protection and Privacy
SAP
Sebastian Wieczorek
Vice President for Artificial Intelligence Technology
SAP
Peter Selfridge
Global Head of Government Affairs
SAP
Freek Staehr
Head of Global Legal
Commercial and Operations
SAP
Kerri Brown
Global Head of Transformational Change & Future of Work, SAP
Daniel Schmid
Chief Sustainability Officer
SAP
Alexandra Seemann
Legal Department Manager / German labour Relations, labour & Social Law SAP
Feiyu Xu
Global Head of Artificial Intelligence,
SAP
Claus Holzknecht
VP Customer Data Office
SAP
T&I
Philipp Herzig
Head of Intelligent Enterprise and Cross Architecture
Product Engineering
SAP
Wiebke Thelo
Head of Quality, Security, and Production
SAP
Blogs
Moin Nabi
Senior Research Scientist at SAP Machine Learning Research
SAP
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.
Tassilo Klein
Senior Researcher of Machine Learning
SAP
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
SAP
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.