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AI Ethics

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

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Thomas Saueressig
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.

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SAP Global AI Ethics Policy

Learn how we ensure to build ethical, responsible and trustworthy AI technology.

Read the policy

SAP’s guiding principles for artificial intelligence (AI)

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We are driven by our values

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We design for people

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We enable business beyond bias

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We strive for transparency and integrity in all that we do

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We uphold quality and safety standards

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We place data protection and privacy at our core

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We engage with the wider societal challenges of AI

SAP AI Ethics Advisory Panel

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Peter Dabrock
Chair of Systematic Theology (Ethics) University of Erlangen-Nuremberg

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Susan Liautaud
Lecturer in Public Policy and Law Stanford University

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Nicholas Wright
Consultant at Intelligent Biology Affiliated Scholar at Georgetown University Medical Center Honorary Research Associate at University College London

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Paul Twomey
Cofounder, Stash.Global Founding figure of ICANN Co-founder of STASH

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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

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Kerri Brown
Global Head of Transformational Change & Future of Work, SAP

Daniel Schmid
Chief Sustainability Officer SAP

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Alexandra Seemann
Legal Department Manager / German Labor Relations, Labor & Social Law SAP

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Feiyu Xu
Global Head of Artificial Intelligence, SAP

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Claus Holzknecht
VP Customer Data Office SAP T&I

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Philipp Herzig
Head of Intelligent Enterprise and Cross Architecture Product Engineering SAP

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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.

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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.

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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.  

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