Limits and challenges of AI-driven exegesis
AIXEGESIS: When Artificial Intelligence Injects Its Biases Into the Sacred Text
I coin here a new term for our era: AIXEGESIS – the interpretation of biblical texts where Artificial Intelligence, instead of serving as a tool for rigorous exegesis, becomes a vehicle for sophisticated eisegesis, injecting patterns, algorithmic biases, and pre-programmed conclusions into the sacred text.
In a world where every source of knowledge is being transmitted through every channel to be concentrated in AI Platforms, this is especially concerning, because, I foresee, AI Platforms will be far more relevant to the daily life of societies than maps, dictionaries, yellow pages, Google, Waze ever were…
This is because “AI” perfectly meets the two main requirements for a product/behavior to be adopted by people: cheaper and easier/more comfortable to use!
Look, cars were cheaper and easier than horses and carriages. WhatsApp easier and cheaper than phone calls + SMS. Email vs. letters. Cell phone vs. landline. CD vs. vinyl. And whatever else you want to compare. In the final analysis, it will always be these two combined criteria that carry a product to the top of the charts.
The Problem Disguised as a Solution
Exegesis has always demanded discipline. As we saw in the example of King Jotham, a superficial reading can transform obedience into negligence, virtue into failure. The honest exegete dives into the context, the original languages, the cross-references. It takes time. It demands humility.
Eisegesis, on the other hand, is convenient. It starts with the desired conclusion and searches for verses to support it. It is fast. It is confirmatory.
AIXEGESIS combines the worst of both worlds: the speed and apparent authority of technology with the interpretive dishonesty of eisegesis.
How AIXEGESIS Works
Unlike the human eisegete, who consciously forces the text to agree with his ideas, the AI system operates in layers of opacity:
Bias Programming: The models are trained on corpora that already carry dominant interpretations, hegemonic theologies, tendentious translations.
Algorithmic Confirmation: The AI identifies patterns that confirm theological frameworks embedded in its training, not necessarily what the original text states.
Illusion of Objectivity: Because it is a “machine,” the AI lends the appearance of scientific neutrality to interpretations that are, in fact, eisegetical.
Speed That Prevents Verification: It produces analyses so quickly that the user has no time – or incentive – to perform adequate exegetical verification.
The Case of Jotham’s Sermon, AI Version
Imagine submitting 2 Chronicles 27:1-2 to an AI biblical analysis system trained on thousands of contemporary evangelical sermons about church attendance:
Prompt: “Analyze 2 Chronicles 27:1-2 and generate insights for preaching.”
AIXEGESIS Output: “King Jotham was good like his father, but he failed in one critical aspect: he did not frequent the temple. This passage illustrates how pious values can be lost between generations when we neglect corporate worship. Application: examine your own discipline of church attendance.”
The AI did not lie. But it also did not perform exegesis. It applied statistical patterns of how this passage is frequently misinterpreted and reproduced the dominant eisegesis with impressive technical authority.
The Exponential Danger
AIXEGESIS is more dangerous than traditional eisegesis because:
Scale: An eisegetical pastor can mislead his congregation. An eisegetical AI system can influence millions instantly.
Authority: “The AI analyzed the original text” sounds more convincing than “I think it means this.”
Inaccessibility: Few can audit the biases embedded in language models.
Perpetuation: Interpretive errors feed back when new AIs are trained on content generated by previous AIs.
The Correct Path
My project Exeg.AI was built precisely to avoid AIXEGESIS. AI should be a tool for rigorous exegesis, not a substitute for the exegete. It should:
- Provide access to the original languages (Hebrew, Aramaic, Greek) without prior interpretation
- Map cross-references objectively
- Present multiple interpretive traditions without favoring any
- Clearly expose its limitations
- Submit to the text, not mold it
Conclusion
Second Timothy 2:15 commands us to be “workers who correctly handle the word of truth.” AIXEGESIS is the incorrect handling of the Word with 21st-century tools.
I do not reject technology – I use it extensively. But just as Jotham learned from Uzziah’s error and did not enter where he should not, we must learn that there are places where AI should not enter: in the seat of the exegete who, with fear and trembling, lets the text speak for itself.
AI can illuminate the path. But the ones who walk it are us. And the destination is not our preconceived ideas, but the truth of the text, whatever the cost.
