Clarifying Responsibilities in AI-Driven Healthcare Diagnostics Legal Perspectives
The rapid integration of AI-driven healthcare diagnostics challenges traditional notions of responsibility and accountability within medical practice and legal frameworks. As algorithms increasingly influence critical health decisions, questions concerning liability and oversight become central to algorithmic accountability. Understanding who bears responsibility for errors or adverse outcomes related to AI in healthcare is essential for balancing…