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

1. Accountability:

AI designers and developers are responsible for considering AI design, development, decision processes, and outcomes.

Principle: Everyday Ethics for Artificial Intelligence: Five Areas of Ethical Focus, Sep 6, 2018

Published by IBM

Related Principles

1. Responsible.

Human beings should exercise appropriate levels of judgment and remain responsible for the development, deployment, use, and outcomes of DoD AI systems.

Published by Defense Innovation Board (DIB), Department of Defense (DoD), United States in AI Ethics Principles for DoD, Oct 31, 2019

10. Responsibility, accountability and transparency

a. Build trust by ensuring that designers and operators are responsible and accountable for their systems, applications and algorithms, and to ensure that such systems, applications and algorithms operate in a transparent and fair manner. b. To make available externally visible and impartial avenues of redress for adverse individual or societal effects of an algorithmic decision system, and to designate a role to a person or office who is responsible for the timely remedy of such issues. c. Incorporate downstream measures and processes for users or stakeholders to verify how and when AI technology is being applied. d. To keep detailed records of design processes and decision making.

Published by Personal Data Protection Commission (PDPC), Singapore in A compilation of existing AI ethical principles (Annex A), Jan 21, 2020

· Build and Validate:

1 When constructing AI systems, designers and engineers should prioritize building AI systems and algorithms that allow and facilitate decision making with an outlook of aligning with human rights and KSA’s cultural values. The automated decisions that result from AI systems should not act in a partial and standalone manner without considering broader human rights and cultural values in their final outcomes and results. 2 Designers and Engineers should enable AI systems with the appropriate parameters and algorithm training to attain outcomes that advance humanity

Published by SDAIA in AI Ethics Principles, Sept 14, 2022

1. Support children's development and well being

Prioritize how AI systems can benefit children, in particular in AI policies and strategies. Develop and apply a design for a child rights approach. Leverage AI systems to support and increase children's well being and environmental sustainability.

Published by United Nations Children's Fund (UNICEF) and the Ministry of in Requirements for child-centred AI, Sep 16, 2020

2. Ensure inclusion of and for children

Strive for diversity amongst those who design, develop, collect and process data, implement, research, regulate and oversee AI systems. Adopt an inclusive design approach when developing AI products that will be used by children or impact them. Support meaningful child participation, both in AI policies and in the design and development processes.

Published by United Nations Children's Fund (UNICEF) and the Ministry of in Requirements for child-centred AI, Sep 16, 2020