The principle "Draft Ethics Guidelines for Trustworthy AI" has mentioned the topic "equal" in the following places:

    · 1. The Principle of Beneficence: “Do Good”

    At the same time, beneficent AI systems can contribute to wellbeing by seeking achievement of a fair, inclusive and peaceful society, by helping to increase citizen’s mental autonomy, with equal distribution of economic, social and political opportunity.

    · 1. The Principle of Beneficence: “Do Good”

    AI systems can be a force for collective good when deployed towards objectives like: the protection of democratic process and rule of law; the provision of common goods and services at low cost and high quality; data literacy and representativeness; damage mitigation and trust optimization towards users; achievement of the UN Sustainable Development Goals or sustainability understood more broadly, according to the pillars of economic development, social equity, and environmental protection.

    · 2. The Principle of Non maleficence: “Do no Harm”

    Of equal importance, AI systems should be developed and implemented in a way that protects societies from ideological polarization and algorithmic determinism.

    · 4. The Principle of Justice: “Be Fair”

    Additionally, the positives and negatives resulting from AI should be evenly distributed, avoiding to place vulnerable demographics in a position of greater vulnerability and striving for equal opportunity in terms of access to education, goods, services and technology amongst human beings, without discrimination.

    · 3. Design for all

    Design for all implies the accessibility and usability of technologies by anyone at any place and at any time, ensuring their inclusion in any living context, thus enabling equitable access and active participation of potentially all people in existing and emerging computer mediated human activities.

    · 4. Governance of AI Autonomy (Human oversight)

    All other things being equal, the greater degree of autonomy that is given to an AI system, the more extensive testing and stricter governance is required.