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

Transparency and accountability

We endeavour to clearly inform our customers and employees when they communicate directly with AI powered systems.

Principle: Vodafone's AI Framework, Jun 11, 2019

Published by Vodafone Group

Related Principles

Transparency:

We will be open about, and explain, our use of AI to our customers so they have a clear understanding of our AI systems and their application. We want our customers to understand how Adobe uses AI, the value AI assisted tools bring to them, and what controls and preferences they have available when they engage with and utilize Adobe’s AI enhanced tools and services.

Published by Adobe in AI Ethics Principles, Feb 17, 2021

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

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