UNESCO Recommendation on the Ethics of AI PA2d: paras 66, 67, 70 Combat stereotyping and bias in outputs and training data, diversify teams and data, and set clear transparency and explainability requirements

Member States should require AI actors to disclose and combat stereotyping in AI outcomes and data, whether by design or negligence, and ensure training data do not foster inequalities, prejudice, disinformation or restrictions on expression, with attention to data-scarce regions; promote diversity in AI development teams and training datasets reflecting the population and equal access to AI benefits; and set clear transparency and explainability requirements suited to the domain, intended use, audience and feasibility of each system.