COVID-19, artificial intelligence, ethical challenges and policy implications

Area of Science:

• Computer Science
• Public Health
• Business Ethics

Background:

• The COVID-19 pandemic highlights the need for effective solutions.
• Artificial Intelligence (AI) offers potential for data-driven decision-making.
• Societal concerns exist regarding AI's use of public data and ethical implications.

Purpose of the Study:

• To explore the ethical challenges of AI deployment during pandemics.
• To assess AI's role in decision-making processes.
• To provide policy recommendations for ethical AI adoption.

Main Methods:

• Utilized business ethics frameworks: utilitarianism and deontology.
• Analyzed ethical considerations of AI in public data utilization.
• Examined AI's impact on organizational decision-making.

Main Results:

• AI presents significant advantages for pandemic management and insights.
• Ethical dilemmas arise from AI's access to and use of social media data.
• Frameworks help determine the ethical acceptability of AI deployment.

Conclusions:

• AI adoption requires careful consideration of moral and ethical issues.
• Policy recommendations are crucial for preventing data privacy violations.
• Balancing AI benefits with public trust and ethical standards is essential.