Big Questions and Small Minds: Conversational Interfaces, Evolution, and Language

Abstract

Evolutionary studies have shown the systematic appearance of cognitive resources allocation “strategies” that ignore relatively probable outliers while presenting very strong divestiture aversion. The prevalence of these ‘strategies’ added to the fact that, as a species, we have never before encountered the problem of differentiating intelligence from intelligent appearance, explains not only our inability to achieve such differentiation, but also how extraordinarily difficult is to even approach, model, or even understand the problem. This has produced two phenomena: 1) a new edition of the relentless an ubiquitous repetition of the same questions (Can computers be creative? Can AIs be artists? Who is the actual artist?) which often only achieve to showcase a superficial contact with contemporary studies on art, creativity, and computer science, and 2) an unexpected yet noticeable decreasing of the capabilities of the users of image-generating computational systems. To everyone’s surprise, the presumed revolutionary image generating prowess of machine learning has been reduced to a homogeneous, predictable, mostly irrelevant stream of graphical production. We propose that this is a result of an implicit perception of intelligence in conversational interfaces which prevents users from leveraging the large corpus of knowledge related to computational visual production, computer science, explicit modelling, iterative development, and software engineering. To support this, we finish by showing several examples of heuristics that help users to develop distinctive visual languages, while incorporating techniques and processes often associated to more traditional processes of image creation.

Presenters

Tomas Laurenzo
Associate Professor of Critical Media Practices, College of Media, Communication and Information, University of Colorado Boulder, United States

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

2024 Special Focus—Images and Imaginaries from Artificial Intelligence

KEYWORDS

AI, Creativity, Art, Perception, Intelligence