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

6. We place data protection and privacy at our core

Data protection and privacy are a corporate requirement and at the core of every product and service. We communicate clearly how, why, where, and when customer and anonymized user data is used in our AI software. This commitment to data protection and privacy is reflected in our commitment to all applicable regulatory requirements as well as through the research we conduct in partnership with leading academic institutions to develop the next generation of privacy enhancing methodologies and technologies.

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

Published by SAP

Related Principles

1. Accountability and Transparency

o ADP believes that human oversight is core to providing reliable ML results. We have implemented audit and risk assessments to test our models as the baseline of our oversight methodologies. We continue to actively monitor and improve our models and systems to ensure that changes in the underlying data or model conditions do not inappropriately affect the desired results. o ADP provides information as to how we handle personal data in the relevant privacy statement that is made available to our clients’ employees, consumers or job applicants.

Published by ADP in ADP: Ethics in Artificial Intelligence, 2018 (unconfirmed)

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

Encode privacy into technology

We encode privacy protections and adhere to the principle of least privilege in our products, so that users only have access to data that they absolutely need to complete their specific task. We treat misuse and violations as product failure. Compliance with the applicable legal frameworks governing privacy is a basic tenet that guides our product development.

Published by Rebelliondefense in AI Ethical Principles, January 2023

4. Privacy and security by design

AI systems are fuelled by data, and Telefónica is committed to respecting people’s right to privacy and their personal data. The data used in AI systems can be personal or anonymous aggregated. When processing personal data, according to Telefónica’s privacy policy, we will at all times comply with the principles of lawfulness, fairness and transparency, data minimisation, accuracy, storage limitation, integrity and confidentiality. When using anonymized and or aggregated data, we will use the principles set out in this document. In order to ensure compliance with our Privacy Policy we use a Privacy by Design methodology. When building AI systems, as with other systems, we follow Telefónica’s Security by Design approach. We apply, according to Telefónica’s privacy policy, in all of the processing cycle phases, the technical and organizational measures required to guarantee a level of security adequate to the risk to which the personal information may be exposed and, in any case, in accordance with the security measures established in the law in force in each of the countries and or regions in which we operate.

Published by Telefónica in AI Principles of Telefónica, Oct 30, 2018