Page 108 - FerMUN 2020 - Futurecasters Global Young Visionaries Summit, 8th-10th January 2020
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ii. Ensuring the smooth running and proper functioning of the programs;
2. Affirms that behavioural analysis software could lead to misinterpretations of facial
signals, hence the need for validation of results by humans as a second-step safety
measure, meaning that effective system monitoring mechanisms should be put in place
to avoid unintentional mistakes;
3. Strongly encourages the establishment of a committee under the direction of the
United Nations called the United Nations Committee for Ethical Artificial Intelligence
(UNCEAI), which will perform tasks including
a. Verifying the state of AI deployment in education systems in all States,
b. Informing the ministry of education of any relevant State in case of non-
compliance with the present resolution;
4. Supports the establishment of a system within the UNCEAI which will be responsible for:
a. Maintaining equal decision-making power for all member States,
b. Rewarding States whose policies demonstrate responsibility and awareness of
the risks and potential of AI with official recognition, thus granting them an
important role in the development of new guidelines;
5. Reaffirms that the datasets fed into behavioural analysis software used for educational
purposes should be directly available to governments to ensure the safety and security
of students in the country;
6. Invites member States to reduce the bias in output of AI systems in order to achieve
unbiased and unquestionable outcomes from the ethical perspective by:
a. Processing the datasets beforehand in such a way that every decision made is
equal to every group, including ensuring that:
i. The datasets used are varied,
ii. Datasets with similar attributes lead to similar results,
b. Incorporating the principle of fairness into the training process itself, called
“counterfactual fairness”, which assigns different attributes to individuals in a
counterfactual world with the aim of comparing the results in the actual world;
7. Suggests collaboration between AI and humans in order to reduce mismatches,
introducing individuals who will:
a. Run algorithms,
b. Compare results,
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