---
title: "Intelligent design and science"
chunk: 4/4
source: "https://en.wikipedia.org/wiki/Intelligent_design_and_science"
category: "reference"
tags: "science, encyclopedia"
date_saved: "2026-05-05T04:31:40.957860+00:00"
instance: "kb-cron"
---

== Intelligence as an observable quality ==
The phrase intelligent design makes use of an assumption of the quality of an observable intelligence, a concept that has no scientific consensus definition. William Dembski, for example, has written that "Intelligence leaves behind a characteristic signature". The characteristics of intelligence are assumed by intelligent design proponents to be observable without specifying what the criteria for the measurement of intelligence should be. Dembski, instead, asserts that "in special sciences ranging from forensics to archaeology to SETI (the Search for Extraterrestrial Intelligence), appeal to a designing intelligence is indispensable". How this appeal is made and what this implies as to the definition of intelligence are topics left largely unaddressed. Seth Shostak, a researcher with the SETI Institute, disputed Dembski's comparison of SETI and intelligent design, saying that intelligent design advocates base their inference of design on complexity—the argument being that some biological systems are too complex to have been made by natural processes—while SETI researchers are looking primarily for artificiality.
Critics say that the design detection methods proposed by intelligent design proponents are radically different from conventional design detection, undermining the key elements that make it possible as legitimate science. Intelligent design proponents, they say, are proposing both searching for a designer without knowing anything about that designer's abilities, parameters, or intentions (which scientists do know when searching for the results of human intelligence), as well as denying the very distinction between natural/artificial design that allows scientists to compare complex designed artifacts against the background of the sorts of complexity found in nature.
As a means of criticism, certain skeptics have pointed to a challenge of intelligent design derived from the study of artificial intelligence. The criticism is a counter to intelligent design claims about what makes a design intelligent, specifically that "no preprogrammed device can be truly intelligent, that intelligence is irreducible to natural processes". This claim is similar in type to an assumption of Cartesian dualism that posits a strict separation between "mind" and the material Universe. However, in studies of artificial intelligence, while there is an implicit assumption that supposed "intelligence" or creativity of a computer program is determined by the capabilities given to it by the computer programmer, artificial intelligence need not be bound to an inflexible system of rules. Rather, if a computer program can access randomness as a function, this effectively allows for a flexible, creative, and adaptive intelligence. Evolutionary algorithms, a subfield of machine learning (itself a subfield of artificial intelligence), have been used to mathematically demonstrate that randomness and selection can be used to "evolve" complex, highly adapted structures that are not explicitly designed by a programmer. Evolutionary algorithms use the Darwinian metaphor of random mutation, selection and the survival of the fittest to solve diverse mathematical and scientific problems that are usually not solvable using conventional methods. Intelligence derived from randomness is essentially indistinguishable from the "innate" intelligence associated with biological organisms, and poses a challenge to the intelligent design conception that intelligence itself necessarily requires a designer. Cognitive science continues to investigate the nature of intelligence along these lines of inquiry. The intelligent design community, for the most part, relies on the assumption that intelligence is readily apparent as a fundamental and basic property of complex systems.

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