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

2. Human centric

AI is used to simplify and enhance our customers’ lives. Employees’ issues are recognized and respected. We acknowledge the advantages of a cooperative and complementary model of humanmachine interactions and seek to use this in a sustainable way. Our preference and intention is for AI to extend and complement human abilities rather than lessen or restrict them.

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

Published by Telia Company AB

Related Principles

4. Human centricity

AI systems should respect human centred values and pursue benefits for human society, including human beings’ well being, nutrition, happiness, etc. It is key to ensure that people benefit from AI design, development, and deployment while being protected from potential harms. AI systems should be used to promote human well being and ensure benefit for all. Especially in instances where AI systems are used to make decisions about humans or aid them, it is imperative that these systems are designed with human benefit in mind and do not take advantage of vulnerable individuals. Human centricity should be incorporated throughout the AI system lifecycle, starting from the design to development and deployment. Actions must be taken to understand the way users interact with the AI system, how it is perceived, and if there are any negative outcomes arising from its outputs. One example of how deployers can do this is to test the AI system with a small group of internal users from varied backgrounds and demographics and incorporate their feedback in the AI system. AI systems should not be used for malicious purposes or to sway or deceive users into making decisions that are not beneficial to them or society. In this regard, developers and deployers (if developing or designing inhouse) should also ensure that dark patterns are avoided. Dark patterns refer to the use of certain design techniques to manipulate users and trick them into making decisions that they would otherwise not have made. An example of a dark pattern is employing the use of default options that do not consider the end user’s interests, such as for data sharing and tracking of the user’s other online activities. As an extension of human centricity as a principle, it is also important to ensure that the adoption of AI systems and their deployment at scale do not unduly disrupt labour and job prospects without proper assessment. Deployers are encouraged to take up impact assessments to ensure a systematic and stakeholder based review and consider how jobs can be redesigned to incorporate use of AI. Personal Data Protection Commission of Singapore’s (PDPC) Guide on Job Redesign in the Age of AI6 provides useful guidance to assist organisations in considering the impact of AI on its employees, and how work tasks can be redesigned to help employees embrace AI and move towards higher value tasks.

Published by ASEAN in ASEAN Guide on AI Governance and Ethics, 2024

· (1) Human centric

Utilization of AI should not infringe upon fundamental human rights that are guaranteed by the Constitution and international norms. AI should be developed and utilized and implemented in society to expand the abilities of people and to pursue the diverse concepts of happiness of diverse people. In the AI utilized society, it is desirable that we implement appropriate mechanisms of literacy education and promotion of proper uses, so as not to over depend on AI or not to ill manipulate human decisions by exploiting AI. AI can expand human abilities and creativity not only by replacing part of human task but also by assisting human as an advanced instrument. When using AI, people must judge and decide for themselves how to use AI. Appropriate stakeholders involved in the development, provision, and utilization of AI should be responsible for the result of AI utilization, depending on the nature of the issue. In order to avoid creating digital divide and allow all people to reap the benefit of AI regardless of their digital expertise, each stakeholder should take into consideration to user friendliness of the system in the process of AI deployment.

Published by Cabinet Office, Government of Japan in Social Principles of Human-centric AI, Dec 27, 2018

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. The purpose of AI is to augment human intelligence

The purpose of AI and cognitive systems developed and applied by IBM is to augment – not replace – human intelligence. Our technology is and will be designed to enhance and extend human capability and potential. At IBM, we believe AI should make ALL of us better at our jobs, and that the benefits of the AI era should touch the many, not just the elite few. To that end, we are investing in initiatives to help the global workforce gain the skills needed to work in partnership with these technologies.

Published by IBM in Principles for Trust and Transparency, May 30, 2018

(Preamble)

To contribute to that AI can extend and complement human abilities rather than lessen or restrict them, Telia Company provides the following Guiding Principles to its operations and employees for proactive design, implementation, testing, use and follow up of AI.

Published by Telia Company AB in Telia Company Guiding Principles on trusted AI ethics, Jan 22, 2019