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

· Informational self determination

Ensure individuals' right to know, and provide users with sufficient information concerning AI system's purpose, function, limitation, and impact

Principle: "ARCC": An Ethical Framework for Artificial Intelligence, Sep 18, 2018

Published by Tencent Research Institute

Related Principles

· 3. The Principle of Autonomy: “Preserve Human Agency”

Autonomy of human beings in the context of AI development means freedom from subordination to, or coercion by, AI systems. Human beings interacting with AI systems must keep full and effective self determination over themselves. If one is a consumer or user of an AI system this entails a right to decide to be subject to direct or indirect AI decision making, a right to knowledge of direct or indirect interaction with AI systems, a right to opt out and a right of withdrawal. Self determination in many instances requires assistance from government or non governmental organizations to ensure that individuals or minorities are afforded similar opportunities as the status quo. Furthermore, to ensure human agency, systems should be in place to ensure responsibility and accountability. It is paramount that AI does not undermine the necessity for human responsibility to ensure the protection of fundamental rights.

Published by The European Commission’s High-Level Expert Group on Artificial Intelligence in Draft Ethics Guidelines for Trustworthy AI, Dec 18, 2018

· 1.3. Transparency and explainability

AI Actors should commit to transparency and responsible disclosure regarding AI systems. To this end, they should provide meaningful information, appropriate to the context, and consistent with the state of art: i. to foster a general understanding of AI systems, ii. to make stakeholders aware of their interactions with AI systems, including in the workplace, iii. to enable those affected by an AI system to understand the outcome, and, iv. to enable those adversely affected by an AI system to challenge its outcome based on plain and easy to understand information on the factors, and the logic that served as the basis for the prediction, recommendation or decision.

Published by The Organisation for Economic Co-operation and Development (OECD) in OECD Principles on Artificial Intelligence, May 22, 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

· Public engagement and exercise of individuals' rights

Various ways of engagement: user choice, user control, etc.; use the capabilities of AI systems to foster an equal empowerment and enhance public engagement Respect individuals' rights, such as data privacy, expression and information freedom, non discrimination, etc.; challenge decisions assisted made by AI systems; provide relief for victims in respect of AI caused harms

Published by Tencent Research Institute in "ARCC": An Ethical Framework for Artificial Intelligence, Sep 18, 2018

6. Provide transparency, explainability and accountability for children

Strive to explicitly address children when promoting explainability and transparency of AI systems. Use age appropriate language to describe AI. Make AI systems transparent to the extent that children and their caregivers can understand the interaction. Develop AI systems so that they protect and empower child users according to legal and policy frameworks, regardless of children's understanding of the system. Review, update and develop AI related regulatory frameworks to integrate child rights. Establish AI oversight bodies compliant with principles and regulations and set up mechanisms for redress.

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