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

“Complementarity”

Treat A.I. as tool for humans to use, not a replacement for human work.

Principle: Seeking Ground Rules for A.I.: The Recommendations, Mar 1, 2019

Published by New Work Summit, hosted by The New York Times

Related Principles

I Interpretability

Interpretable and explainable AI will be essential for business and the public to understand, trust and effectively manage 'intelligent' machines. Organisations that design and use algorithms need to take care in producing models that are as simple as possible, to explain how complex machines work.

Published by Institute of Business Ethics (IBE) in IBE interactive framework of fundamental values and principles for the use of Artificial Intelligence (AI) in business, Jan 11, 2018

1 Ethical Purpose and Societal Benefit

Organisations that develop, deploy or use AI systems and any national laws that regulate such use should require the purposes of such implementation to be identified and ensure that such purposes are consistent with the overall ethical purposes of beneficence and non maleficence, as well as the other principles of the Policy Framework for Responsible AI.

Published by International Technology Law Association (ITechLaw) in The Eight Principles of Responsible AI, May 23, 2019

· 1. A.I. must be designed to assist humanity

As we build more autonomous machines, we need to respect human autonomy. Collaborative robots, or co bots, should do dangerous work like mining, thus creating a safety net and safeguards for human workers.

Published by Satya Nadella, CEO of Microsoft in 10 AI rules, Jun 28, 2016

First principle: Human Centricity

The impact of AI enabled systems on humans must be assessed and considered, for a full range of effects both positive and negative across the entire system lifecycle. Whether they are MOD personnel, civilians, or targets of military action, humans interacting with or affected by AI enabled systems for Defence must be treated with respect. This means assessing and carefully considering the effects on humans of AI enabled systems, taking full account of human diversity, and ensuring those effects are as positive as possible. These effects should prioritise human life and wellbeing, as well as wider concerns for human kind such as environmental impacts, while taking account of military necessity. This applies across all uses of AI enabled systems, from the back office to the battlefield. The choice to develop and deploy AI systems is an ethical one, which must be taken with human implications in mind. It may be unethical to use certain systems where negative human impacts outweigh the benefits. Conversely, there may be a strong ethical case for the development and use of an AI system where it would be demonstrably beneficial or result in a more ethical outcome.

Published by The Ministry of Defence (MOD), United Kingdom in Ethical Principles for AI in Defence, Jun 15, 2022

· Human oversight and determination

35. Member States should ensure that it is always possible to attribute ethical and legal responsibility for any stage of the life cycle of AI systems, as well as in cases of remedy related to AI systems, to physical persons or to existing legal entities. Human oversight refers thus not only to individual human oversight, but to inclusive public oversight, as appropriate. 36. It may be the case that sometimes humans would choose to rely on AI systems for reasons of efficacy, but the decision to cede control in limited contexts remains that of humans, as humans can resort to AI systems in decision making and acting, but an AI system can never replace ultimate human responsibility and accountability. As a rule, life and death decisions should not be ceded to AI systems.

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO) in The Recommendation on the Ethics of Artificial Intelligence, Nov 24, 2021