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

7. Transparent and explainable

We strive towards transparency and to proactively explain the use of AI in our operations to customers, employees and other stakeholders in a user friendly way, based on applicable industry best practice and relevant standards.

Principle: Telia Company Guiding Principles on trusted AI ethics, Jan 22, 2019

Published by Telia Company AB

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

9. Principle of accountability

Developers should make efforts to fulfill their accountability to stakeholders, including AI systems’ users. [Comment] Developers are expected to fulfill their accountability for AI systems they have developed to gain users’ trust in AI systems. Specifically, it is encouraged that developers make efforts to provide users with the information that can help their choice and utilization of AI systems. In addition, in order to improve the acceptance of AI systems by the society including users, it is also encouraged that, taking into account the R&D principles (1) to (8) set forth in the Guidelines, developers make efforts: (a) to provide users et al. with both information and explanations about the technical characteristics of the AI systems they have developed; and (b) to gain active involvement of stakeholders (such as their feedback) in such manners as to hear various views through dialogues with diverse stakeholders. Moreover, it is advisable that developers make efforts to share the information and cooperate with providers et al. who offer services with the AI systems they have developed on their own.

Published by Ministry of Internal Affairs and Communications (MIC), the Government of Japan in AI R&D Principles, Jul 28, 2017

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

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

Transparent and Accountable.

We will provide appropriate transparency to the public and our customers regarding our AI methods, applications, and uses within the bounds of security, technology, and releasability by law and policy, and consistent with the Principles of Intelligence Transparency for the IC. We will develop and employ mechanisms to identify responsibilities and provide accountability for the use of AI and its outcomes.

Published by Intelligence Community (IC), United States in Principles of Artificial Intelligence Ethics for the Intelligence Community, Jul 23, 2020