When I was a teenager, I purchased an early personal computer called a Timex Sinclair ZX-81 with money I earned from my paper route. I was amazed at how computer programs enabled me to build “castles in the air . . . creating by exertion of the imagination.”1 What started as a hobby later developed into a vocation as I pursued a Ph.D. in the field of robotics and computer vision. At the time (nearly 20 years ago), the field of AI was climbing out of an “AI winter,” and I found myself attracted to newer machine learning methods that were being used for image recognition.2 I recall being astounded at the profound elegance of “training” a computer with a set of example images and then observing how well it could identify new images that were not part of the original training set. Even those early machine-learning techniques seemed magical.
Two things became apparent to me in the following years. First, the technology amplified opportunities to do good as well as to do harm. Already as a grad student, I observed many research efforts being directed towards face recognition—an intriguing and challenging technical problem that had pitfalls for misuse and a myriad of privacy issues. I consciously chose a research direction that I felt was a more redemptive application of machine learning, such as automating the visual sorting of recyclable goods. I later recognized this approach as confirming the theological notion of structure and direction: the possibility for technology is rooted in the structure of God’s good creation, and direction refers to how we unfold technology in either obedience or disobedience to God.3
The second thing that became apparent to me was that AI was developing faster than many of us would have predicted. As an engineering grad student some 20 years ago, I would have scoffed at the notion of an autonomous car; the computer vision challenges were simply too great in unstructured and unpredictable environments. Within the decade, Google successfully demonstrated a self-driving car. In the words of Yogi Berra, “It’s tough to make predictions, especially about the future”—even for those who are developing technology.
One of the latest developments to catch widespread attention has been ChatGPT, a chatbot developed by OpenAI. Unlike the modest number of example images I used for training in my graduate work, ChatGPT used 570 gigabytes of example documents.4 ChatGPT can interact with a user by responding to questions and replying to prompts (you can try it out here). While some of the responses are amusing or simply wrong, the results are frequently astonishing, providing surprisingly coherent and cogent responses to a wide variety of prompts including composing poems, stories, sermons, and essays. The results have been so remarkable it has led to speculations that the college essay is dead and about the future of many skilled jobs. Indeed, computer programmers may be programming themselves out of a job. A system called Copilot takes input prompts and generates computer code, leading some to speculate about the end of programming.
While rumors of the demise of the essay and of programming are likely exaggerated, there will be definite impacts for higher education. How should we modify our writing assignments and academic integrity policies when student have access to AI-generated text? Could we use AI-generated text for critical assessment exercises that might help students write (and code) better? Although these questions will require wider faculty discussions, what follows are three general guidelines as we discern a Christian response to AI.
First, we need to avoid the pitfalls of viewing technology with either too much optimism or with undue pessimism. We must reject a reductionistic worldview that sees all problems as reduceable to technical problems that can be solved by technology. A trust in technology, sometimes referred to as technicism, is essentially a form of idolatry. On the other hand, we should not view technological developments with a despair that they will inevitably threaten humanity. AI is part of the latent potential in creation, and we are called to responsibly unfold its possibilities. Theologian Al Wolters writes that “the Bible is unique in its uncompromising rejection of all attempts . . . to identify part of creation as either the villain or the savior.”5
Second, rather than focusing on what AI can do, we need to start with an ontological question: how are people distinct from machines? A common tendency is to anthropomorphize our machines, thereby elevating the status of our machines and, in doing so, reducing the distinctiveness of human beings. Already in the 1960s, the early AI pioneer Joseph Weizenbaum explored the notion of automating psychotherapy with a chatbot named ELIZA. Weizenbaum concluded, “There are limits to what computers ought to be put to do.”6 In his book, Humans Are Underrated, Geoff Colvin suggests asking the following question: “What are the activities that we humans, driven by our deepest nature or by the realities of daily life, will simply insist be performed by other humans, regardless of what computers can do?”7 An AI chatbot or robot should never substitute for human wisdom, care, or companionship. Without a biblically informed ontological grounding, we will be susceptible to various reductionistic philosophies like physicalism and Gnosticism.8 The Biblical story is clear that while humans are also creatures, we are uniquely created in the image of God and distinct from machines. The notion of the imago Dei endures, even as our machines become more capable of things that, up to now, only humans have been able to do. The theologian Herman Bavinck argues that “a human being does not bear or have the image of God, but . . . he or she is the image of God.”9
Third, we need to discern norms for the responsible use of AI. The creators of ChatGPT bumped up against the “AI Alignment” problem—the challenge of aligning an AI system with the goals and values of the designers. The developers had to grapple with bias (including racism) in their training set. Technology is not neutral, and neither are the algorithms and the training data used in AI. Consequently, AI systems can perpetuate injustice, a real threat as big data is employed in a wide variety of fields including insurance, policing, marketing, loans, and politics.10 We will need to discern creational norms for AI which include considerations like justice, cultural appropriateness, caring, social norms, stewardship, transparency, and trust.11
Since norms are not simply reducible to algorithms, we will need wisdom to discern the extent that we ought to replace traditional human roles with machines. Moreover, appropriate norms should point us towards using AI to opening up new possibilities for showing love to our neighbor and caring for the earth and its creatures.12 Already, AI has shown amazing redemptive applications in medicine, drug discovery, environmental monitoring, wildlife preservation, assisting people with disabilities, and enhancing traffic safety. Christian computer scientists and engineers can find common cause and join groups such as AI for Good, AI for Earth, and AI and Faith. Moreover, computer scientists will need the help of philosophers, theologians, social scientists, and others in the humanities to help direct technologies like AI-generated text in normative ways (in fact, a liberal arts context is an ideal setting for such collaboration).13
Fred Brooks, a respected Christian computer scientist, wrote, “It is time to recognize that the original goals of AI were not merely extremely difficult, they were goals that, although glamorous and motivating, sent the discipline off in the wrong direction.”14 Brooks advocates for IA (Intelligence Amplifying) systems over AI, suggesting people and machines will be able to do far more than AI alone. As an example, one of my colleagues at Calvin University has been exploring the use of AI for helping people write better (as opposed to writing for them).
Despite the possibilities for sinful distortions, AI is part of the exciting possibilities in creation that Christians can help direct in God-honoring ways. Christians will need to join the wider dialogue surrounding these powerful new technologies, bringing insights into what it means to be human and to help shape public policy with a voice that is both biblical and relevant.15
Footnotes
- Frederick P. Brooks, The Mythical Man-Month: Essays on Software Engineering (Boston: Addison-Wesley, 1995), 7.
- At the time, I was using something called Principal Component Analysis (PCA).
- Albert M. Wolters, Creation Regained: Biblical Basics for a Reformational Worldview (Grand Rapids, MI: Eerdmans, 2005), 87–88.
- https://nlp.stanford.edu/pubs/tamkin2021understanding.pdf
- Wolters, Creation Regained, 61.
- Joseph Weizenbaum, Computer Power and Human Reason: From Judgment to Calculation (New York: W. H. Freeman, 1976) 5–6.
- Geoff Colvin, Humans Are Underrated: What High Achievers Know That Brilliant Machines Never Will (New York: Penguin, 2015) 42.
- Derek C. Schuurman, “Artificial Intelligence: Discerning a Christian Response,” Perspectives on Science and Christian Faith 71, no. 2, (June 2019): 75–82.
- Herman Bavinck, Reformed Dogmatics: God and Creation, ed. John Bolt, trans. John Vriend (Grand Rapids, MI: Baker Academic, 2004) 554, emphasis in original.
- An excellent book highlighting these issues is Cathy O’Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (New York: Crown, 2016).
- I describe these norms for computer technology in more detail in chapter 4 of Shaping a Digital World: Faith, Culture and Computer Technology (Downers Grove, IL: InterVarsity Academic Press, 2013).
- Derek Schuurman, “Steering a Course for Artificial Intelligence,” The Banner, September 2018.
- At Calvin we are planning some conversations around ChatGPT in the months ahead.
- Frederick P. Brooks Jr., “The Computer Scientist as Toolsmith II,” Communications of the ACM 39, no. 3, (March 1996): 64.
- The Cape Town Commitment that came out of the Lausanne Congress includes a “call to action” that specifically identifies emerging technologies like AI as areas with “deep implications for the Church” where Christians need to engage.
I always enjoy and feel uplifted by Derek’s contributions. In this case, my faith is uplifted over the notion that humans and their AI (or IA) assistants can bring us to a more capable society. I for one need to stop anthropomorphizing my devices, which usually only happens when they misbehave.
Thank you for sharing your need to stop anthropomorphizing your devices.
Wisdom from above. JOY.
Thank you, Derek, for this excellent overview about Christian frameworks for AI (or IA, as Brooks thoughtfully suggests). This morning on National Public Radio, a young Toronto-based computer science student was featured. In early December 2022 he worried about the capacity of ChatGPT to fabricate essays for college students. Over the Christmas break, he wrote a computer program (now an app) entitled ChatGPT Zero as a tool to detect the use of ChatGPT in college student essays. He used ChatGPT itself to create this program to detect its own patterns of word use and sentence structure in such essays! The app is intended to be a tool for college and university instructors to detect uses of Chat GPT. This code creator is trying to move the uses of ChatGPT in another direction.
Thank you very much, Dr. Schuurman!
Timely message Dr. Schuurman. Thank you!
Thank you again Father God for your wisdom manifest through Your people.
Recently, and educator on Apologetics stated, “the church is in the dark ages.” I’m listening. Praying God’s Revival come to His people individually and corporately. Repent, Return and take back what we’ve handed over to the opposition.
Writing is character-building and leans on important virtues. Writing creates cognitive complexity. Writing shapes selves in deep and lasting ways. Chat-GPT requires the ability to type (or merely verbalize) questions. What do we lose in wisdom when we surrender our minds to these technologies for the sake of data?
Wonderful reflections with plenty of wisdom, Derek.
Some years back I started writing student assignments using language that would capture idiosyncratic, often theological, ways of thinking used in my classes. So far, they are largely AI resistant.
Thanks.
Quin