Ethical Challenges in AI–IoT Healthcare Applications

Abstract

Artificial Intelligence (AI) and the Internet of Things (IoT) intersect and have transformed healthcare to become an interconnected ecosystem, based on data, intelligent, and smart. The AI-IoT integration can allow a greater level of accuracy and efficiency in patient treatment than ever before, predictive analytics, real-time surveillance, and personalized medical interventions. Nevertheless, there are also significant ethical issues associated with this digital development in data privacy, algorithmic bias, accountability, and transparency. Decentralized and data-centric AI-IoT systems make them more vulnerable to surveillance, discrimination, and abuse besides amplifying accountability and responsibility blur of decision-making. In order to make sure that innovation is a human-centered value, the healthcare sector should implement adaptive ethical principles, transparent algorithmic designs, and responsive governance patterns that balance the growth of technology with human dignity, fairness, and trust in the digital health settings.

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