Abstract

Artificial Intelligence and Machine Learning (AIML) are rapidly changing nearly every aspect of post-modern life; but, do we really understand it? Quantum Computing will only accelerate the adoption of AIML as the new algorithm(s) for universal computability emerge. Explainable AI (XAI) is a burgeoning field of research with the goal of opening the AIML black box and explaining how it works. From the technical standpoint, this is typically calculating and demonstrating input-to-output connections with the hope of generating more trust in AIML. The intent of this animation is to create and reveal the inner workings of an AIML from a visual arts standpoint – visual arts XAI.

Learn more about the process and technical documentation, visit the GitHub repository: https://github.com/shawnlawson/XAI-Visual-Guts

Created with the generous support of Da Vinci Labs, https://www.davincilabs.eu

Credits

Vilolist – Chris Fisher-Lochhead

Electronic Instrument System (EIS) – Michael Century

Audio Engineer – Ross Rice

EIS – Expanded Instrument System, with the Permission of The Pauline Oliveros Trust and The Ministry of Maat. https://www.ministryofmaat.org

Data Set Wrangler – Jeremy Stewart

Storytellers – Haley Day, Mike Esperanza, Olivia Link, Kendall Niblett, and Nia Sadler

Machine Learning Hardware Support – Research Computing, Arizona State University

Sound Recording Facilities – Experimental Media & Performing Arts Center, Rensselaer Polytechnic Institute