Humans, Automation, and Workflow: Seeking Balance in Service of Art

Since the advent of “workflow” during the Industrial Revolution, companies have been continually seeking to increase efficiency while reducing extraneous tasks or human interaction, including through automation. The media and entertainment (M&E) industry has followed a similar trajectory, accelerated most recently by the transition to digital. While automation is inherent to modern workflows, M&E relies on creativity and the subjectivity of art and therefore requires human intervention. Mitigating issues of algorithm bias, over-reliance on technology, and limited or flawed data inputs creating flawed outputs is vital in promoting healthy collaboration that allows elevated creativity.

Print ISSN

1545-0279

Electronic ISSN

2160-2492

Published

2021-11

Content type

Original Research

Keywords

Algorithm, algorithmic bias, application programming interface (API), artificial intelligence (AI), artificial neural networks (ANNs), automation, deep learning (DL), diversity equity and inclusion (DEI), human-in-the-loop (HITL), machine learning, management, media and entertainment (M&E), science, technology, engineering, math (STEM), workflow

DOI

10.5594/JMI.2021.3114847