Artificial Intelligence

Book Review Introduction: December 2024/January 2025

[1] Esteemed readers of the Journal of Lutheran Ethics, it is my pleasure and privilege to introduce myself as the new Book Editor. I have been teaching ethics at Bethune Cookman University for over 18 years and have been actively involved in the work of this church. I hope to continue the legacy of quality […]

Book Review: The Problem of 12: When a Few Financial Institutions Control Everything by John Coates

[1] No doubt economics plays a role in our polarization and social fragmentation.  Harvard Law School Deputy Dean John Coates has authored a cutting edge book on economic trends that Lutheran ethicists need to address and that we all need to master in order to educate the Lutherans we serve to the new realities of […]

Book Review: Christ and the Common Life: The Case for Democracy by Luke Bretherton

[1] In the aftermath of the 2024 United States Presidential Election, Christians are wrestling with more constructive ways of living out their faith-life and civic duties. Unfortunately, political discourse of late has created a gulf within the church catholic in the United States as Christians are drawn into the culture wars and hyper-partisan politics. There […]

Book Review: Moving Beyond: Toward Transformative Theologizing by Karen L. Bloomquist

[1] Karen L. Bloomquist’s latest book, Moving Beyond: Toward Transformative Theologizing, is not intended to be a scholarly work; it is a call to reevaluate traditional approaches to God-talk in an attempt to create a more engaging and transformational model. Building on her previous work[i], Bloomquist draws on her personal journey in order to present […]

For Congregational Discussion: Ethical Considerations on Artificial Intelligence

There are few topics as interesting and exciting as the ethics of Artificial Intelligence. And there are few topics as difficult for the lay person to understand. The following is a brief discussion guide to help congregations think through the issues presented in this edition of JLE. [1] What is your philosophy of technology? Have […]

Looking into the AI Mirror: Optimism, Pessimism, or Something Else?

Introduction [1] “As in water face reflects face, so the heart of man reflects the man.” (Proverbs 27:19) Water reflects faces and hearts reflect character. There is nothing new about these mirrors and what they reveal. Yet, there is a new mirror that offers us a haunting reflection of ourselves: we must now grapple with […]

Book Review: Is Artificial Intelligence Racist?  The Ethics of AI and the Future of Humanity by Arshin Adib-Moghaddam

1] Though a self-proclaimed friend of Artificial Intelligence (pp.31,119), Cambridge University Professor of Global Thought Arshin Adib-Moghaddam is concerned about racism and sexism creeping into the algorithms governing emerging AI technology (pp.3-4,48-49).  This is an issue that is getting some attention among experts (notably in another new book by Calvin Lawrence, Hidden in White Sight, […]

Editor’s Introduction: Ethical Considerations on Artificial Intelligence.

[1] This issue of JLE showcases three excellent articles about Artificial Intelligence.  These articles explain how generative Artificial Intelligence works, some of the current ethical challenges, and some frameworks for building a set of guidelines for our use of this new technology. [2] The first essay, written by William Rodriguez, begins with a calming introduction […]

Ethical Considerations and Artificial Intelligence

The AI Revolution [1] The ELCA Social Statement on Genetics establishes that [scientific and technological] developments “illustrate the abundant gifts of God’s creation” but cautions that “these developments also exemplify how contemporary human knowledge and technology are causing a different relationship between human power and life.”[i] Our church also teaches that “the Gospel does not […]

The Technical and Ethical Challenges of Generative Model Alignment

Introduction [1] Anyone who has interacted with generative models like ChatGPT or Midjourney knows that their responses can sometimes be deeply flawed. Large language models (LLMs) will sometimes confabulate[1] factual errors. They can also respond in manners that are biased, racist, sexist, or explicit.[i]  Text-to-image diffusion models can make relatively harmless errors like misspelling image […]