Policy and Governance of AI in Healthcare: Ensuring Community Voices Are Heard

Résumé

The integration of artificial intelligence (AI) into healthcare holds significant promise for improving patient outcomes, streamlining workflows, and reducing healthcare disparities. However, to harness these benefits responsibly, the governance of AI in healthcare must prioritize inclusivity, equity, and transparency. Ensuring that community voices are heard in AI policy and governance is crucial in mitigating risks such as algorithmic bias, lack of accountability, and unequal access to technology. Community stakeholders, including patients, healthcare workers, and marginalized populations, should be involved in shaping policies that guide the development, deployment, and regulation of AI technologies. This participatory approach not only fosters trust but also ensures that AI solutions are designed with diverse needs in mind, minimizing the potential for harm. Furthermore, effective governance frameworks must address challenges such as data privacy, security, and the ethical implications of machine learning models. By incorporating diverse perspectives, we can create AI systems that are more aligned with societal values and that operate with fairness, transparency, and accountability. This paper explores the importance of community-driven AI governance in healthcare, offering recommendations for policymakers and technology developers to ensure that the voices of all stakeholders are considered in the decision-making processes. Ultimately, the success of AI in healthcare depends on a governance model that is inclusive, ethical, and designed with the well-being of all individuals in mind.