| Sumario: | The article focuses on the ethical and practical challenges of using artificial intelligence (AI) in clinical trial recruitment, emphasizing the need to address informational and ethical asymmetries between researchers and potential participants. It highlights that while AI can improve recruitment efficiency and trial matching, participants often lack sufficient knowledge about trials and AI tools, which may exacerbate existing disparities and hinder informed decision-making. The authors advocate for the development of independent, participant-centered AI tools that incorporate individuals’ values and preferences to support value-concordant trial matching and informed consent. They also stress that AI integration in recruitment should be accompanied by normative reflection to avoid reducing participants to mere data points and to ensure ethical alignment with participants’ interests.
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