Resist, Regulate, Reimagine, Reinforce: How Social Workers Can Advocate for Digital Inclusion (1 credit hour)

Program Summary:  This course explores the history of artificial intelligence, the use of algorithms, and the influence of algorithms on areas of healthcare, housing, employment, and criminal justice.  The course highlights concerns related to the implementation of AI that include injustices to marginalized groups.  The course outlines four ways for social workers to advocate for digital inclusion and social justice:  resist, regulate, reimagine, and reinforce.  Examples are given.

“According to the NASW Code of Ethics, social workers must challenge social injustice and address social problems (NASW, 2021).”

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 1:  Resist, Regulate, Reimagine, and Reinforce How Social Workers Can Advocate for Digital Inclusion Author:  Sarah E. Dillard Publisher: Columbia Social Work Review

Reading 2:  A Call to Address AI “Hallucinations” and How Healthcare Professionals Can Mitigate Their Risks Authors:   Rami Hatem, Brianna Simmons, and Joseph E. Thornton  Publisher: Cureus

“Book  Open the Course Reading Here.

Course Objectives:  To enhance professional practice, values, skills and knowledge by exploring the influence of AI and how social workers can challenge injustice and advocate for digital inclusion.

Learning Objectives:  Describe the influence of algorithms on healthcare, housing, employment, and criminal justice.  Identify concerns related to the implementation of AI that include injustices to marginalized groups.  Describe ways for social work to advocate for social justice and digital inclusion.

Course Available Until: May 31, 2027.

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1: As AI becomes more integrated into our everyday lives, algorithms are influencing
 
 
 
 
 
2: A computer based in formulas and mathematical calculations eliminates bias.
 
 
3: Algorithms are often
 
 
4: In 2018, Amazon had to get rid of their system which penalized candidates who had _________ in their hiring application.
 
 
 
 
5: HIPAA covers
 
 
 
 
6: In 2018, the Gender Shades study found that three different commercial algorithms were gravely inaccurate at identifying dark-skinned women, with error rates as high as ________.
 
 
 
 
7: Limiting the amount of information shared online and refusing to opt-in to monitoring services are examples of
 
 
 
 
8: Writing briefs on biased algorithms and the need for federal regulation is an example of
 
 
 
 
9: Taking jobs in fields such as research ethics and community relations are examples of
 
 
 
 
10: Reading 2// Without careful consideration and monitoring by human healthcare professionals, AI algorithms, researchers, and practitioners can perpetuate existing biases, leading to
 
 
 
 
11: As defined by ChatGPT3.5 (August 16, 2023)  which of the following refers to "the generation of content that is not based on real or existing data but is instead produced by a machine learning model's extrapolation or creative interpretation of its training data."
 
 
 
 

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: May 31, 2027.
Filed under: Ethics, Technology