Abstract

Objective: Artificial intelligence is becoming increasingly important for social purposes, and a new form of governance known as algorithmic governance is emerging. However, there is a need to prevent the abuse of market power and the rise of monopolies. In the use of AI for combatting the COVID-19 pandemic, it is essential to develop frameworks that overcome the inefficiency of ethical and legal principles to avoid ethical laundering. This paper aims to analyze existing regulations for the use of AI and propose frameworks for the analysis of legal and ethical restrictions to control the COVID-19 pandemic.
 Methodology: This paper employs a combination of national and international theoretical research methods to promote dialogue between various fields of knowledge and an interdisciplinary perspective.
 Results: The study proposes the need for hetero-regulation, regulated self-regulation, and self-regulation in the use of AI to control the COVID-19 pandemic. It suggests that frameworks for the analysis of legal and ethical restrictions should be developed to overcome critical problems and improve current strategies for using AI.
 Contributions: This paper provides possible solutions and measures to address critical problems concerning the use of AI in the fight against the COVID-19 pandemic. It highlights the need for regulatory frameworks that promote ethical and legal principles to ensure that AI is used effectively and responsibly.

Full Text
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