5. 我们坚持质量和安全标准(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.
原则: SAP的人工智能指导原则(SAP's Guiding Principles for Artificial Intelligence), Sep 18, 2018

作者:SAP

相关原则

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.

由 Deutsche Telekom 在 德国电信的人工智能准则(Deutsche Telekom’s guidelines for artificial intelligence)发表, 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

由 Deutsche Telekom 在 德国电信的人工智能准则(Deutsche Telekom’s guidelines for artificial intelligence)发表, 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

由 Deutsche Telekom 在 德国电信的人工智能准则(Deutsche Telekom’s guidelines for artificial intelligence)发表, May 11, 2018

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.

由 Rebelliondefense 在 人工智能道德原则发表, January 2023

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.

由 SAP 在 SAP的人工智能指导原则(SAP's Guiding Principles for Artificial Intelligence)发表, Sep 18, 2018