AI Ethics in Healthcare

By the end of this course, students will have the ability to evaluate the ethical impacts of artificial intelligence (AI) in the healthcare sector comprehensively. They will delve into the various ethical principles and learn how to apply them to real-world scenarios, ensuring that their knowledge is not just theoretical but also practical. In particular, students will focus on addressing critical issues like algorithmic bias, which can lead to unfair or discriminatory outcomes if not managed properly.

They will also explore the importance of data privacy, recognizing the need to protect sensitive patient information in an era where data breaches are increasingly common. The course will also emphasize the development of responsible AI solutions tailored for health systems. Students will be equipped with the skills needed to create AI technologies that not only improve healthcare delivery but do so in a manner that is ethical and equitable.

A significant portion of the curriculum will be dedicated to understanding the unique challenges faced in resource-limited areas. Here, students will learn to innovate within constraints, developing AI solutions that are both effective and accessible to underserved populations. Overall, by the conclusion of the course, students will possess a robust framework for integrating AI ethically into healthcare, ensuring that technological advancements contribute positively to society and particularly benefit those in the most need.