Equity and ethical considerations in using artificial intelligence (AI), particularly in public health and medicine, remain pressing concerns as these technologies continue to evolve. In this paper, the author explores multiple aspects of this issue, focusing on the challenges and potential solutions for ensuring AI is deployed responsibly and equitably. Specifically, the paper discusses the following key areas:

• Bias in AI algorithms – the risk of AI models perpetuating health disparities due to non-representative datasets and systemic biases in healthcare data.
• Health equity challenges – the uneven distribution of AI-driven healthcare advancements, where well-resourced areas benefit while underserved populations remain excluded.
• Privacy and transparency – the ethical implications of AI processing vast amounts of personal health data, raising concerns about confidentiality and opaque decision-making.
• Community engagement – the necessity of involving diverse populations in AI development to ensure fairness, inclusivity, and real-world applicability.

In summary, this paper highlights the critical need to address equity and ethics in AI-driven healthcare. As AI continues to advance, it is essential to ensure that these innovations benefit all populations rather than exacerbating existing disparities. By adopting responsible AI practices, we can work toward a more inclusive and ethical healthcare system.