Safe and Ethical AI (SEA) Platform Network · Linking Artificial Intelligence Principles (LAIP)

4. We strive for transparency and integrity in all that we do

Our systems are held to specific standards in accordance with their level of technical ability and intended usage. Their input, capabilities, intended purpose, and limitations will be communicated clearly to our customers, and we provide means for oversight and control by customers and users. They are, and will always remain, in control of the deployment of our products. We actively support industry collaboration and will conduct research to further system transparency. We operate with integrity through our code of business conduct, our internal AI Ethics Steering Committee, and our external AI Ethics Advisory Panel.

Principle: SAP's Guiding Principles for Artificial Intelligence, Sep 18, 2018

Published by SAP

Related Principles

3. We put our customers first.

We enrich and simplify our customers’ lives. If an AI system or the usage of customer related data helps us to benefit our customers, we embrace this opportunity to meet their demands and expectations. The aggregation and use of customer data – especially in AI systems – shall always be clear and serve a useful purpose towards our customers. Systems and processes that support in the background are as important as services that interact with our customers directly

Published by Deutsche Telekom in Deutsche Telekom’s guidelines for artificial intelligence, May 11, 2018

2. Transparency and openness

We will act openly in our relations with customers, partners and stakeholders, ensuring sufficient transparency for the evaluation of the AI we have developed. We will discuss our use of AI use openly and subject our work to public scrutiny.

Published by OP Financial Group in OP Financial Group’s ethical guidelines for artificial intelligence, 2018 (unconfirmed)

Design for human control, accountability, and intended use

Humans should have ultimate control of our technology, and we strive to prevent unintended use of our products. Our user experience enforces accountability, responsible use, and transparency of consequences. We build protections into our products to detect and avoid unintended system behaviors. We achieve this through modern software engineering and rigorous testing on our entire systems including their constituent data and AI products, in isolation and in concert. Additionally, we rely on ongoing user research to help ensure that our products function as expected and can be appropriately disabled when necessary. Accountability is enforced by providing customers with insight into the provenance of data sources, methodologies, and design processes in easily understood and transparent language. Effective governance — of data, models, and software — is foundational to the ethical and accountable deployment of AI.

Published by Rebelliondefense in AI Ethical Principles, January 2023

1. We are driven by our values

We recognize that, like with any technology, there is scope for AI to be used in ways that are not aligned with these guiding principles and the operational guidelines we are developing. In developing AI software we will remain true to our Human Rights Commitment Statement, the UN Guiding Principles on Business and Human Rights, laws, and widely accepted international norms. Wherever necessary, our AI Ethics Steering Committee will serve to advise our teams on how specific use cases are affected by these guiding principles. Where there is a conflict with our principles, we will endeavor to prevent the inappropriate use of our technology.

Published by SAP in SAP's Guiding Principles for Artificial Intelligence, Sep 18, 2018

5. We uphold quality and safety standards

As with any of our products, our AI software is subject to our quality assurance process, which we continuously adapt when necessary. Our AI software undergoes thorough testing under real world scenarios to firmly validate they are fit for purpose and that the product specifications are met. We work closely with our customers and users to uphold and further improve our systems’ quality, safety, reliability, and security.

Published by SAP in SAP's Guiding Principles for Artificial Intelligence, Sep 18, 2018