Computational Visualization for Critical Thinking

  • Catherine Griffiths University of Southern California, Interdisciplinary Media Arts + Practice


This paper looks back at historical precedents for how computational systems and ideas have been visualized as a means of access to and engagement with a broader audience, and to develop a new more tangible language to address abstraction. These precedents share a subversive ground in using a visual language to provoke new ways of engaging with about complex ideas. Two new approaches to visualizing algorithmic systems are proposed for the emerging context of algorithmic ethics in society, looking at prototypical algorithms in computer vision and machine learning systems, to think through the meaning created by algorithmic structure and process. The aim is to use visual design to provoke new kinds of thinking and criticality that can offer opportunities to address algorithms in their increasingly more politicized role today. These new approaches are developed from an arts research perspective to support critical thinking and arts knowledge through creative coding and interactive design.
xCoAx 2019 - Special Issue