This article discusses AI development models in healthcare, highlighting ethical implications and collaborative approaches.
As artificial intelligence (AI) revolutionizes healthcare, a crucial debate is emerging: Should AI development be driven by tech giants or by collective intelligence? This article discusses the strengths and limitations of both approaches, analyzing real-world cases and future scenarios. The investigation encompasses technical, ethical, and practical implications of different AI development models in healthcare, drawing insights from initiatives like Google's Med-PaLM 2 and the MIMIC database. A balanced path integrating corporate innovation with open-source collaboration, supported by thoughtful regulation, may offer a promising way to develop AI systems that are technologically advanced, ethical, and equitable. The integrated approach could help address diverse needs in global healthcare while maintaining high standards of innovation and accessibility.
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Wu et al. (2026) studied this question.
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