감염병과 사회약자:인공지능기반 감염병 모델의 내재화와 법제적 검토

It is a world where disasters are commonplace. In the midst of disasters, the threat of infectious diseases is increasing. Unlike SARS and MERS, COVID-19 had a great impact and was difficult to find precedent. COVID-19 has changed the whole of everyday life. It caused enormous losses not only to the people's life but also to the national economy. In particular, it was more harsh on the socially underprivileged, such as the poor, the elderly, and children. Those who were in an unequal position in daily life, such as the disabled in facilities vulnerable to infection, the elderly and care workers in nursing homes, workers working in poor working conditions, migrant workers, inmates, and the poor, were more vulnerable to infectious diseases and suffered significant damage. The lower the social class, the more seriously they were hit in disaster situations and difficult to recover from. As such, disasters are not equal to everyone, but have had an unequal impact on the socially disadvantaged. The novel coronavirus infection disease has caused social inequality, including gender gaps, among infectious diseases. Is Safe Life for All Possible? Based on this problem recognition, this study aims to internalize artificial intelligence-based infectious disease enhancement models as a means of supporting health care policy capabilities, with hopes for problem-solving solutions of artificial intelligence technology, the backbone technology of digital transformation, and seek legal review and countermeasures.