Feeding the Algorithm? Strategies of Technosensation in Artistic Project Based on Bio-Parametrisation’s Techniques

Abstract

The article investigates various kinds of the strategies of technosensation in artistic project based on bio-parametrisation’s techniques. The category of technosensation is in the article referred to the considerations of Luciana Parisi and Marie-Luise Angerer to define the relationship between body affectivity and computational systems (primarily in relation to automated decision-making systems and machine learning processes). The context for these considerations is the reflection on “technological redlining” as a strategy for racial, gender, and (dis)ability profiling of computational systems, which generate social exclusion, inequalities and oppressiveness. In the article, the author considers (with reference to the considerations of Parisi, Bernard Stiegler, Yuk Hui and Gabbrielle M. Johnson) to what extent the algorithmic biases are the result of automation, and to what extent they result from the absorption of uncertainty, randomness and technodiversity. Technosensation strategies are considered in relation to the artistic practices of Zach Blas, Maja Smrekar, Marija Griniuk and others, pointing to subversive, critical and affirmative variants of technological functionality and agency. The presented projects prove that the functionality of computational technologies is not bipolar, but it is developing as a spectrum of nuanced mechanisms, both in the area of oppressive-exclusionary systems and emancipatory strategies.