CM2029 Healthcare Ethics, Legal and Social Impact 4.0 credits

-      Applications of AI for health

                          Drivers for AI integration in health

How AI supports the delivery of health

What is precision medicine and precision public health

-       Laws, policies and liability rules for AI

-      Surveillance capitalism and ubiquitous surveillance

-      Facial recognition, privacy and police agencies

-      The moral responsibility of researchers

-      Diversity and cultural change

After passing the course, the student must be able to:

-     explain how health data and models can be used ethically in society  

-     discuss and report on critical perspectives on artificial intelligence in health    

-     describe potential biases and risks with data and models in health

-     discuss legal frameworks and values about justice equity and fairness in health data and models

English 6

If the course is discontinued, students may request to be examined during the following two academic years.

• LIT1 - Literature Study, 2.0 credits, grading scale: P, F
• RAP1 - Written Report, 2.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.