The principle "Draft Text of The Recommendation on the Ethics of Artificial Intelligence" has mentioned the topic "fairness" in the following places:

    · Living in peaceful, just and interconnected societies

    This value demands that peace, inclusiveness and justice, equity and interconnectedness should be promoted throughout the life cycle of AI systems, in so far as the processes of the life cycle of AI systems should not segregate, objectify or undermine freedom and autonomous decision making as well as the safety of human beings and communities, divide and turn individuals and groups against each other, or threaten the coexistence between humans, other living beings and the natural environment.

    · Fairness and non discrimination

    · fairness and non discrimination

    · Fairness and non discrimination

    · Fairness and non discrimination

    · Fairness and non discrimination

    AI actors should promote social justice and safeguard fairness and non discrimination of any kind in compliance with international law.

    · Fairness and non discrimination

    AI actors should promote social justice and safeguard fairness and non discrimination of any kind in compliance with international law.

    · Fairness and non discrimination

    AI actors should promote social justice and safeguard fairness and non discrimination of any kind in compliance with international law.

    · Fairness and non discrimination

    At the international level, the most technologically advanced countries have a responsibility of solidarity with the least advanced to ensure that the benefits of AI technologies are shared such that access to and participation in the AI system life cycle for the latter contributes to a fairer world order with regard to information, communication, culture, education, research and socio economic and political stability.

    · Fairness and non discrimination

    AI actors should make all reasonable efforts to minimize and avoid reinforcing or perpetuating discriminatory or biased applications and outcomes throughout the life cycle of the AI system to ensure fairness of such systems.

    · Fairness and non discrimination

    AI actors should make all reasonable efforts to minimize and avoid reinforcing or perpetuating discriminatory or biased applications and outcomes throughout the life cycle of the AI system to ensure fairness of such systems.

    · Fairness and non discrimination

    AI actors should make all reasonable efforts to minimize and avoid reinforcing or perpetuating discriminatory or biased applications and outcomes throughout the life cycle of the AI system to ensure fairness of such systems.

    · Fairness and non discrimination

    Effective remedy should be available against discrimination and biased algorithmic determination.

    · Fairness and non discrimination

    Effective remedy should be available against discrimination and biased algorithmic determination.

    · Transparency and explainability

    A lack of transparency could also undermine the possibility of effectively challenging decisions based on outcomes produced by AI systems and may thereby infringe the right to a fair trial and effective remedy, and limits the areas in which these systems can be legally used.

    · Transparency and explainability

    It allows for public scrutiny that can decrease corruption and discrimination, and can also help detect and prevent negative impacts on human rights.

    · Transparency and explainability

    It may also include insight into factors that affect a specific prediction or decision, and whether or not appropriate assurances (such as safety or fairness measures) are in place.

    · Multi stakeholder and adaptive governance and collaboration

    Stakeholders include but are not limited to governments, intergovernmental organizations, the technical community, civil society, researchers and academia, media, education, policy makers, private sector companies, human rights institutions and equality bodies, anti discrimination monitoring bodies, and groups for youth and children.