Artistic control over the glitch in AI-generated motion capture

by   Jamal Knight, et al.

Artificial intelligence (AI) models are prevalent today and provide a valuable tool for artists. However, a lesser-known artifact that comes with AI models that is not always discussed is the glitch. Glitches occur for various reasons; sometimes, they are known, and sometimes they are a mystery. Artists who use AI models to generate art might not understand the reason for the glitch but often want to experiment and explore novel ways of augmenting the output of the glitch. This paper discusses some of the questions artists have when leveraging the glitch in AI art production. It explores the unexpected positive outcomes produced by glitches in the specific context of motion capture and performance art.


Towards Enterprise-Ready AI Deployments Minimizing the Risk of Consuming AI Models in Business Applications

The stochastic nature of artificial intelligence (AI) models introduces ...

Can Computers Create Art?

This paper discusses whether computers, using Artifical Intelligence (AI...

Antitrust and Artificial Intelligence (AAI): Antitrust Vigilance Lifecycle and AI Legal Reasoning Autonomy

There is an increasing interest in the entwining of the field of antitru...

Citizen Perspectives on Necessary Safeguards to the Use of AI by Law Enforcement Agencies

In the light of modern technological advances, Artificial Intelligence (...

Welfare Without Taxation - Autonomous production revenues for Universal Basic Income

In the face of shifting means of production from manual human labor to l...

Augmenting Poetry Composition with Verse by Verse

We describe Verse by Verse, our experiment in augmenting the creative pr...

Please sign up or login with your details

Forgot password? Click here to reset