Table 2 Ethical concerns in potential use cases of AI integration in public health

From: Reason and responsibility as a path toward ethical AI for (global) public health

Knowledge phase

Use case

Description

Ethical concerns

The Hunter-gatherer: Collecting and curating relevant public health information

Data-Driven Disease Prevention

Utilizing AI to enhance disease surveillance and prediction

• Risk assessment

• Contact tracing

• Resource allocation

-Privacy and data protection issues

-Inequity in data availability and digital access could further fuel the digital divide

The Ripple-maker: Disseminating relevant public health information

Health Education and Promotion

Utilizing AI to enhance public health communication

• Principles from nudging to promote healthy behavior in population

-Loss of autonomy

-Loss of freedom of choice

-Bias in machine learning models and unequitable predictions