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

I Integrity

As the saying has it, integrity is doing the right thing even when nobody's watching. In the context of AI, we should ensure that it is used only for its intended purpose, even when there is no means to enforce this. When designing or selling an AI system, it is important to ensure that the end user will respect the agreed uses of the technology.

Principle: IBE interactive framework of fundamental values and principles for the use of Artificial Intelligence (AI) in business, Jan 11, 2018

Published by Institute of Business Ethics (IBE)

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)

3.1 Explainability and verifiability

One of the basic characteristics of human consciousness is that it perceives the environment, seeks answers to questions. i.e. explanations of why and how something is or is not. That trait influenced the evolution of man and the development of science, and therefore artificial intelligence. Man's need to understand and make things clear to him found its foothold in this principle. Clarity in the context of these Guidelines means that all processes: development, testing, commissioning, system monitoring and shutdown must be transparent. The purpose and capabilities of the artificial intelligence system itself must be explainable, especially the decisions (recommendations) which it brings (to the extent that it is expedient) to all who are affected by the System (directly or indirectly). lf certain results of the System's work cannot be explained, it is necessary to mark them as a system with a "black box" model. Verifiability is a complementary element of this principle, which ensures that the System can check in all processes, ie. during the entire life cycle. Verifiability includes the actions and procedures of checking artificial intelligence systems during testing and implementation, as well as checking the short term and long term impact that such a system has on humans.

Published by Republic of Serbia in ETHICAL GUIDELINES FOR THE DEVELOPMENT, APPLICATION AND USE OF RELIABLE AND RESPONSIBLE ARTIFICIAL INTELLIGENCE, Febrary, 2023

3.2 Dignity

It is the duty of all members of society to mutually respect and protect this right as one of the basic and inviolable rights of every human being. Every individual has the right to protect own dignity: violation or non respect of this right is sanctioned by law. Human dignity (further: dignity) should be understood as a starting principle (principle) that focuses on the preservation of human integrity. Based on that premise, the persons to whom these Guidelines refershould at all times, regardless of the stage in which the concrete artificial intelligence solution isIdevelopment, application or use), keep in mind the person and his integrity as a central concept. In thisregard, it is necessary to develop systems that, at every stage, make it imperative to respect theperson's personality, his freedom and autonomy. Respecting human personality means creating a system that will respect the cognitive, social andcultural characteristics of each individual. The artificial inteligence systems that are being developed must be in accordance with the above, therefore it is necessary to take care that they cannot in any waylead to the subordination of man to the functions of the system, as well as endangering his dignity andintegrity. In order to ensure respect for the principle of dignity, artificial intelligence systems must not be such that in the processes of work and application they grossly ignore the autonomy of human choice. The Constitution of the Republic of Serbia emphasizes that dignity "is inviolable and everyone is obliged to respectand protect it., Evervone has the right to free personal development, if it does not violate the rights of others guaranteed by the Constitution. The Convention on Human Rights states the following: "Human dignity (dignity) is not only a basic human right but also the foundation of human rights." Human dignity is inherent in every human being. In the Republic of Serbia, this term is regulated in the following ways: "The dignity of the person (honor, reputation, or piety) of the person to whom the information refers.'it is legally protected.” "Whoever abuses another or treats him in a way that offends a human being. dignity, shall be punished by imprisonment for up to one year. "Work in the public interest is any socially useful work that does not offend human dignity and is not done for the purpose of making a profit." This principle emphasizes that the integrity and dignity of all who may be affected by the Artificial inteligence Systemmust be taken care of at all times, As it is a general concept, to which life, in addition to the law, gives different sides although the essence is the same, it is appropriate to attach to the concept itself: honor, reputation, that is, piety.

Published by Republic of Serbia in ETHICAL GUIDELINES FOR THE DEVELOPMENT, APPLICATION AND USE OF RELIABLE AND RESPONSIBLE ARTIFICIAL INTELLIGENCE, Febrary, 2023

2. Transparent and explainable AI

We will be explicit about the kind of personal and or non personal data the AI systems uses as well as about the purpose the data is used for. When people directly interact with an AI system, we will be transparent to the users that this is the case. When AI systems take, or support, decisions we take the technical and organizational measures required to guarantee a level of understanding adequate to the application area. In any case, if the decisions significantly affect people's lives, we will ensure we understand the logic behind the conclusions. This will also apply when we use third party technology.

Published by Telefónica in AI Principles of Telefónica, Oct 30, 2018

1. Demand That AI Systems Are Transparent

A transparent artificial intelligence system is one in which it is possible to discover how, and why, the system made a decision, or in the case of a robot, acted the way it did. In particular: A. We stress that open source code is neither necessary nor sufficient for transparency – clarity cannot be obfuscated by complexity. B. For users, transparency is important because it builds trust in, and understanding of, the system, by providing a simple way for the user to understand what the system is doing and why. C. For validation and certification of an AI system, transparency is important because it exposes the system’s processes for scrutiny. D. If accidents occur, the AI will need to be transparent and accountable to an accident investigator, so the internal process that led to the accident can be understood. E. Workers must have the right to demand transparency in the decisions and outcomes of AI systems as well as the underlying algorithms (see principle 4 below). This includes the right to appeal decisions made by AI algorithms, and having it reviewed by a human being. F. Workers must be consulted on AI systems’ implementation, development and deployment. G. Following an accident, judges, juries, lawyers, and expert witnesses involved in the trial process require transparency and accountability to inform evidence and decision making. The principle of transparency is a prerequisite for ascertaining that the remaining principles are observed. See Principle 2 below for operational solution.

Published by UNI Global Union in Top 10 Principles For Ethical Artificial Intelligence, Dec 11, 2017