Automated Certainty
The technologically mediated production of settled understanding faster than the competence required to evaluate it.
Theory
Automated certainty names a condition in which experienced perplexity is reduced more rapidly than the user develops the interpretive competence needed to evaluate the apparent resolution.
The problem is not falsity as such, but epistemic miscalibration: confidence and felt comprehension exceed the depth, scope, or reliability of actual understanding. Fluent algorithmic outputs can feel like expertise without producing the discriminatory competence that expert fluency presupposes.
The concept treats algorithmic mediation as an ecological intervention: it reorganises attention, authority, memory, and interpretive labour across the environment in which understanding is formed.
Key publications
- Automated Certainty: Algorithmic Perplexity Reduction and Theological Metacognitive Miscalibration (Journal for the Cognitive Science of Religion, 2026).
A continually updated record is available through the publications page.
Current work
- Experimental comparison of singular-fluent, interpretively plural, and scaffolded-complexity presentations.
- Cross-traditional study of confidence-accuracy calibration in digital religious environments.
- Design criteria for systems that preserve source visibility, uncertainty markers, and structured disagreement.