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

Published by SAP

Related Principles

2. We care.

We act in tune with our company values. Our systems and solutions must subordinate to humandefined rules and laws. Therefore, in addition to our technical requirements, our systems and solutions have to obey the rules and laws that we as Deutsche Telekom, our employees – and human beings as such – follow. AI systems have to meet the same high technical requirements as any other IT system of ours, such as security, robustness, etc. But since AI will be (and already is) a great part of our everyday lives, even guiding us in several areas, AI systems and their usage also have to comply with our company values (Deutsche Telekom’s Guiding Principles and Code of Conduct), ethical values, and societal conventions. We have to make sure of that.

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

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

5. We are secure.

Data security is a prime quality of Deutsche Telekom. In order to maintain this asset, we ensure that our security measures are up to date while having a full overview of how customer related data is used and who has access to which kind of data. We never process privacy relevant data without legal permission. This policy applies to our AI systems just as much as it does to all of our activities. Additionally, we limit the usage to appropriate use cases and thoroughly secure our systems to obstruct external access and ensure data privacy.

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

6. We set the framework.

Our AI solutions are developed and enhanced on grounds of deep analysis and evaluation. They are transparent, auditable, fair, and fully documented. We consciously initiate the AI’s development for the best possible outcome. The essential paradigm for our AI systems’ impact analysis is “privacy und security by design”. This is accompanied e.g. by risks and chances scenarios or reliable disaster scenarios. We take great care in the initial algorithm of our own AI solutions to prevent so called “Black Boxes” and to make sure that our systems shall not unintentionally harm the users

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

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.

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