Page 58 - FerMUN 2020 - Futurecasters Global Young Visionaries Summit, 8th-10th January 2020
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5. Encourages all medical institutions using AI to hire medical professionals in charge of
overseeing the technology by:
a. Making sure that any biases in the results of tests in the short term are eradicated
and do not affect the diagnosis of the patient,
b. Attempting to rectify any mistakes that could be made due to lack of
information by the system,
c. Guaranteeing the ever-presence of a human element in treatments by AI;
6. Approves of the addition of an international curriculum pertaining to AI technology in
science classes in primary and secondary schooling in order to familiarise the
population with AI technology;
7. Solemnly supports laws enforced to hold medical organisations criminally responsible
for breaches of patient privacy and misuse of data, without forgetting the necessary
role of governmental access to this data;
8. Emphasises the requirement of more face to face interactions with patients that have
various mental conditions and illnesses where :
a. AI systems can still play some role in these diagnoses and treatments; in the
beginning stages, if not considered an emergency, however, doctors are still
needed to properly diagnose and treat patients,
b. Patients can reliably get proper care without fear of miscommunication or
misunderstandings, both through the development of AI and the availability of
psychiatric professionals or counselors;
9. Proposes the introduction of state-issued digital medical data licences for medical
organisations which require minimum cyber security standards in order to collect and
manage patient digital data;
10. Affirms the use of assisted and autonomous AI healthcare technology contingent on
approval through rigorous State-run medical trials and testing following rigorous
medical trials and federal regulations to ensure patient safety, including viewing new
AI technology and services that pertain to the medical field, which will work in tandem
with the International Bioethics Committee (IBC) for educated evaluation of new AI
techniques;
11. Organises for the additional development of new AI techniques (technology and
services) that can be helped to further the institution of healthcare around the world
through :
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