Public health guidelines and policies relating to digital public health are essential to ensuring the protection of the population. With this protection, there needs to be a consideration for the ethical challenges in public health. There is an obligation of care that comes with accessing health services, as well as a need for understanding the role of Artificial Intelligence and Machine Learning.
As health challenges become more complex, there is a growing need to identify and address questions on existing public health policies, codes of conduct, and guidelines relating to the provision of medical care across the globe, in order to strengthen our understanding of the ethics of public health practices.
Based on this, Frontiers in Public Health is launching a series of Research Topics pertaining to different subsections of Public Health and the respective challenges with ethics. This Research Topic will focus on ethical challenges in digital public health, with the aim of highlighting advances in public health and the ethical questions that may arise when considering the best practices for tools such as Artificial Intelligence and Machine Learning.
Some subthemes may include, but are not limited to:
• Codes of conduct, standards, and certification processes ensuring the integrity of developers and users of AI;
• Integration of algorithms for ethical reasoning capabilities within AI;
• Protection of personal data and respect for privacy;
• Trustworthy AI in the service of public health;
• Patient-healthcare provider relationship in the digital era;
• Models of shared decision-making in digital health services;
• Ethical principles and moral norms for digital health;
• Trust, empathy, and communication in digital health;
• Algorithmic bias, discrimination, and justice;
• Equal access to digital health services.
Public health guidelines and policies relating to digital public health are essential to ensuring the protection of the population. With this protection, there needs to be a consideration for the ethical challenges in public health. There is an obligation of care that comes with accessing health services, as well as a need for understanding the role of Artificial Intelligence and Machine Learning.
As health challenges become more complex, there is a growing need to identify and address questions on existing public health policies, codes of conduct, and guidelines relating to the provision of medical care across the globe, in order to strengthen our understanding of the ethics of public health practices.
Based on this, Frontiers in Public Health is launching a series of Research Topics pertaining to different subsections of Public Health and the respective challenges with ethics. This Research Topic will focus on ethical challenges in digital public health, with the aim of highlighting advances in public health and the ethical questions that may arise when considering the best practices for tools such as Artificial Intelligence and Machine Learning.
Some subthemes may include, but are not limited to:
• Codes of conduct, standards, and certification processes ensuring the integrity of developers and users of AI;
• Integration of algorithms for ethical reasoning capabilities within AI;
• Protection of personal data and respect for privacy;
• Trustworthy AI in the service of public health;
• Patient-healthcare provider relationship in the digital era;
• Models of shared decision-making in digital health services;
• Ethical principles and moral norms for digital health;
• Trust, empathy, and communication in digital health;
• Algorithmic bias, discrimination, and justice;
• Equal access to digital health services.
