Algorithmic Governance in Digital Health

Provides an in-depth exploration of how AI can ethically interact with digital health. Combining both theory and practice, the book presents an algorithmic governance model rooted in bioethics and human rights, examining the ethical, legal, and social impact of machine learning. Each chapter addresses the dichotomy between technological advancement and ethical principles, advocating for alignment that centers individual autonomy in AI deployment. Additionally, it offers a mechanism to assess autonomy throughout the entire algorithmic lifecycle, ensuring technology genuinely serves human interests.