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

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.

Principle: AI Ethics Principles, Feb 17, 2021

Published by Adobe

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

4. We are transparent.

In no case we hide it when the customer’s counterpart is an AI. And, we are transparent about how we use customer data. As Deutsche Telekom, we always have the customer’s trust in mind – trust is what we stand for. We are acting openly to our customers. It is obvious to our customers that they are interacting with an AI when they do. In addition, we make clear, how and to which extent they can choose the way of further processing their personal data.

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

· 2) Research Funding

Investments in AI should be accompanied by funding for research on ensuring its beneficial use, including thorny questions in computer science, economics, law, ethics, and social studies, such as: How can we make future AI systems highly robust, so that they do what we want without malfunctioning or getting hacked? How can we grow our prosperity through automation while maintaining people’s resources and purpose? How can we update our legal systems to be more fair and efficient, to keep pace with AI, and to manage the risks associated with AI? What set of values should AI be aligned with, and what legal and ethical status should it have?

Published by Future of Life Institute (FLI), Beneficial AI 2017 in Asilomar AI Principles, Jan 3-8, 2017

2. Transparency

For cognitive systems to fulfill their world changing potential, it is vital that people have confidence in their recommendations, judgments and uses. Therefore, the IBM company will make clear: When and for what purposes AI is being applied in the cognitive solutions we develop and deploy. The major sources of data and expertise that inform the insights of cognitive solutions, as well as the methods used to train those systems and solutions. The principle that clients own their own business models and intellectual property and that they can use AI and cognitive systems to enhance the advantages they have built, often through years of experience. We will work with our clients to protect their data and insights, and will encourage our clients, partners and industry colleagues to adopt similar practices.

Published by IBM in Principles for the Cognitive Era, Jan 17, 2017

1. People first approach

We will use data and AI responsibly and for the good of our customers. We will define the objectives guiding our use of AI clearly and refine them if necessary based on changed data, technical possibilities and the working environment.

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