Unveiling the paradox: can AI bridge societal divides or deepen inequalities?
Jose Eric M Lacsa · Journal of Public Health · 2024
Dear Editor, The recent article by Kahambing suggests that while Artificial Intelligence (AI) has the capability to tackle and reduce inequalities, this potential is hindered by challenges such as varying access to AI and the expenses related to adhering to AI suggestions. Using the concept of vicarious causation, AI is depicted as a mediator that connects otherwise unrelated entities, much like historical figures have bridged different fields such as politics and science.1 Despite Kahambing’s assertion that AI can mitigate inequalities, it can be argued that AI might actually worsen these problems. The substantial costs of deploying and accessing AI technology can increase the disparity between different socio-economic groups, and dependence on AI recommendations could amplify existing biases if the foundational data are flawed. Rather than serving as a connector between disparate entities, AI could entrench current divisions and inequalities, underscoring the complexities and potential downsides of incorporating AI into public health and other areas.