Ethical Considerations in Healthcare Artificial Intelligence
As AI becomes an integral part of healthcare, ethical considerations surrounding its use have gained significant attention. Issues such as data privacy, algorithmic bias, transparency, and patient consent are central to responsible AI adoption. Ensuring that AI systems are trained on diverse datasets prevents bias and ensures equitable care for all patient groups.
Strong cybersecurity measures are essential to protect patient health data from unauthorized access. Transparent AI models that explain their decision-making processes also help build trust among clinicians and patients. Ethical frameworks and regulations will continue to evolve to support safe and fair AI integration.