TRAPPED BY THE ALGORITHM: WHO CONTROLS HEALTH IN THE AI AGE?

The rapid incorporation of artificial intelligence (AI) into the main public health aspects by means of predictive analytics, digital surveillance, wearable technologies, and algorithmic decision-making has transformed how health is understood, managed, and experienced. The technologies, while promising efficiency, accuracy and preventive care, also raise profound philosophical issues of knowledge, power and control. This paper examines AI-driven public health systems through the philosophical lens of Plato’s Allegory of the Cave, using it as a critical framework to interrogate contemporary forms of epistemic control. This paper draws parallels between Plato's prisoners, who see only shadows and think that they are real, and today's inhabitants of the world who trust the algorithmic representations of their health, arguing that AI can be both a means to enlightenment and a mode of control at the same time. Health data dashboards, risk scores, and predictive models might uncover patterns that are otherwise invisible to human eyes, but on the other hand, they can also hide the real-life situation, treat intricate human bodies merely as data points and give power to the invisible tech systems. This risks creating an “algorithmic cave” in which machine-generated outputs are accepted as unquestionable truth. The study further explores ethics being the main topics of data privacy, algorithmic bias, surveillance, and the transition of power from the medical professionals and patients to the corporations and state-sponsored technologies. It gives a clear warning of how one may easily mistake the outputs of the machine for the objective truth while ignoring the social, cultural, and moral aspects of health. Reassessing the Platonic ideal of reflective knowledge, it urges to give up the usual route of just listening to the algorithms and to go toward a more freeing, human-centered comprehension of health in the AI period.