High-Reward, High Risk Technologies? An Ethical and Legal Account of AI Development in Healthcare (2 credit hours)

Program Summary:  The reading for this course asks important legal and ethical questions related to the emergence of AI in healthcare.  For example, should the final decisions in medical matters depend on human judgment alone? What does informed consent look like when treatment includes opaque, unintelligible AI algorithms? How can a patient challenge a decision if the health professional cannot clearly explain how or why they proposed a certain treatment? What probability of error is acceptable in AI models?  Who should be held responsible for AI errors?  This course examines the main ethical and legal considerations for AI development in healthcare and highlights ethical principles of privacy, confidentiality, autonomy, informed consent, beneficence, and nonmaleficence.  Issues of bias, responsibility, liability, and the transformation of work are also discussed.  This course identifies a need for healthcare workers to expand their AI competence with a special emphasis placed on ethical and legal considerations.

This course is recommended for social workers and is appropriate for beginning and intermediate levels of practice.  This course is not recommended for NBCC ethics credit.

Reading:  High-Reward, High-Risk Technologies?  An Ethical and Legal Account of AI development in Healthcare Authors:  Maelenn Corfmat, Joe T. Martineau, and Catherine Regis Publisher: BMC Medical Ethics

“Book  Open the Course Reading Here.

Course Objectives:  To enhance professional practice, values, skills and knowledge by exploring the main ethical and legal considerations for AI in healthcare.

Learning Objectives:  Describe the conceptual differences between ethics and the law.  Identify the main ethical and legal considerations associated with AI in healthcare.  Identify recommendations for healthcare professionals as they include AI in their practice.

Course Available Until: January 31, 2030.

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1: Which of the following asks whether one can do something?
 
 
2: Which of the following asks whether one should do something?
 
 
3: AI health data is limited to that which is collected within the health system.
 
 
4: Reliable AI development depends on access to health data, but this is restricted by the imperatives of ___________.
 
 
 
 
5: Many deep learning models require
 
 
6: The principle that free and informed consent must be obtained for any medical examination, treatment or intervention is based on the ethical principle of
 
 
 
 
7: The use of opaque, unintelligible AI systems might resurrect a certain medical paternalism, accentuating the loss of
 
 
 
 
8: The law usually requires that the person giving consent is sufficiently informed to decide in an _________ manner.
 
 
 
 
9: Algorithms' reasoning is induced and driven by
 
 
 
 
10: AI researchers call this type of calculation a 'heuristic':
 
 
11: Automation bias refers to the tendency of clinicians (and people more broadly) to overly rely on
 
 
12: The burden of proof for showing a causal link between fault and damage invariably falls on
 
 
 
13: 'AI technologies should not harm people' describes
 
 
 
 
14: Establishing points of human supervision in the design and use of the AI algorithm is often described as ___________.
 
 
 
 
15: AI that induces dependence or cognitive complacency among healthcare professionals describes the risk of
 
 
 
 
16: There is a need to increase the __________ AI literacy of healthcare professionals.
 
 
 
 

In order to purchase or take this course, you will need to log in. If you do not have an account, you will need to register for a free account.

After you log in, a link will appear here that will allow you to purchase this course.

Review our pre-reading study guide.

G.M. Rydberg-Cox, MSW, LSCSW is the Continuing Education Director at Free State Social Work and responsible for the development of this course.  She received her Masters of Social Work in 1996 from the Jane Addams School of Social Work at the University of Illinois-Chicago and she has over 20 years of experience.  She has lived and worked as a social worker in Chicago, Boston, and Kansas City.  She has practiced for many years in the area of hospital/medical social work.  The reading materials for this course were developed by another organization.

Course Available Until: January 31, 2030.
Filed under: Ethics, Healthcare, Technology