2. Inclusion:

the needs of all human beings must be taken into consideration so that everyone can benefit and all individuals can be offered the best possible conditions to express themselves and develop;
Principle: Rome Call for AI Ethics, Feb 28, 2020

Published by The Pontifical Academy for Life, Microsoft, IBM, FAO, the Italia Government

Related Principles

(Preamble)

AI has arrived, and it is a technology that has the potential to change the world as we know it so far. It is technology that, with its development has the ability to generate an infinite amount of benefits and improve the quality of life of humanity. Similarly, AI opens the way to risky situations and raises questions about their use and their effects. At this point, it appears necessary to incorporate the ethical dimension to illuminate the development of AI, and make distinctions of its correct or incorrect use. At IA Latam, we collaboratively understand the creation of ethical criteria of self adherence that help us and guide all of us to follow the best possible path, always having as a north a better planet for the new generations. As the technologies advance, the ethical ramifications will be more relevant, where the conversation is no longer based on a "fulfill" but rather on a "we are doing the right thing and getting better". For this reason, in IA LATAM we present below our first Declaration of Ethical Principles for Latin American AI that we hope will be a starting point and a great help for all.

Published by IA Latam in Declaration Of Ethics For The Development And Use Of Artificial Intelligence (unofficial translation), Feb 8, 2019 (unconfirmed)

L Learning

To maximise the potential of AI, people need to learn how it works and what are the most efficient and effective ways to use it. Employees and other stakeholders need to be empowered to take personal responsibility for the consequences of their use of AI and they need to be provided with the skills to do so.

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

4. Fairness

Members of the JSAI will always be fair. Members of the JSAI will acknowledge that the use of AI may bring about additional inequality and discrimination in society which did not exist before, and will not be biased when developing AI. Members of the JSAI will, to the best of their ability, ensure that AI is developed as a resource that can be used by humanity in a fair and equal manner.

Published by The Japanese Society for Artificial Intelligence (JSAI) in The Japanese Society for Artificial Intelligence Ethical Guidelines, Feb 28, 2017

1 WELL BEING PRINCIPLE

The development and use of artificial intelligence systems (AIS) must permit the growth of the well being of all sentient beings. 1) AIS must help individuals improve their living conditions, their health, and their working conditions. 2) AIS must allow individuals to pursue their preferences, so long as they do not cause harm to other sentient beings. 3) AIS must allow people to exercise their mental and physical capacities. 4) AIS must not become a source of ill being, unless it allows us to achieve a superior well being than what one could attain otherwise. 5) AIS use should not contribute to increasing stress, anxiety, or a sense of being harassed by one’s digital environment.

Published by University of Montreal in The Montreal Declaration for a Responsible Development of Artificial Intelligence, Dec 4, 2018

5 DEMOCRATIC PARTICIPATION PRINCIPLE

AIS must meet intelligibility, justifiability, and accessibility criteria, and must be subjected to democratic scrutiny, debate, and control. 1) AIS processes that make decisions affecting a person’s life, quality of life, or reputation must be intelligible to their creators. 2) The decisions made by AIS affecting a person’s life, quality of life, or reputation should always be justifiable in a language that is understood by the people who use them or who are subjected to the consequences of their use. Justification consists in making transparent the most important factors and parameters shaping the decision, and should take the same form as the justification we would demand of a human making the same kind of decision. 3) The code for algorithms, whether public or private, must always be accessible to the relevant public authorities and stakeholders for verification and control purposes. 4) The discovery of AIS operating errors, unexpected or undesirable effects, security breaches, and data leaks must imperatively be reported to the relevant public authorities, stakeholders, and those affected by the situation. 5) In accordance with the transparency requirement for public decisions, the code for decision making algorithms used by public authorities must be accessible to all, with the exception of algorithms that present a high risk of serious danger if misused. 6) For public AIS that have a significant impact on the life of citizens, citizens should have the opportunity and skills to deliberate on the social parameters of these AIS, their objectives, and the limits of their use. 7) We must at all times be able to verify that AIS are doing what they were programmed for and what they are used for. 8) Any person using a service should know if a decision concerning them or affecting them was made by an AIS. 9) Any user of a service employing chatbots should be able to easily identify whether they are interacting with an AIS or a real person. 10) Artificial intelligence research should remain open and accessible to all.

Published by University of Montreal in The Montreal Declaration for a Responsible Development of Artificial Intelligence, Dec 4, 2018