Through a series of speculative design exercises, we will prototype and discuss what voice technologies might look like if we designed them in line with the central commitments of feminism: participation, agency, embodiment, equity, empowerment, plurality and justice.
Sophia Oppel is an artist and researcher whose work addresses the insidious positions of embedded power in networked infrastructures.
As co-curator of MOCA’s current exhibition "Age of You" Obrist will talk about the central themes of the show, the coming publication and the future life of the project.
Paglen is an artist whose work spans disciplines including image-making, sculpture, investigative journalism, writing and engineering.
What does the internet look like — to you? MOCA invites you to consider this question while exploring "Age of You", an exhibition highlighting such themes as data, artificial intelligence, surveillance and the limitless capabilities of the internet.
"If I had the words to tell you we wouldn’t be here now" uses storytelling, drag and theatrical devices to explore how language not only gives shape to thought, but shapes thought.
The McLuhan Centre’s annual theme, "HotMessAge", explores how media and technology underlie today’s social and environmental crises while at the same time offering us the tools to address these challenges.
In this workshop, we will navigate the impact of datafication to form a better understanding of our “data bodies” and how they are used, stored and shared by governments and corporations.
This talk will draw a line between Mommy's Basement to Outer Space and offer a feminist alternative to the technological escapism that pervades our present moment, justly termed the "Age of You".
Think you can outsmart facial recognition? In this workshop, participants get to design and construct masks and headpieces inspired by "CV Dazzle", a project by artist Adam Harvey that provides information and tips for creating “looks” that can camouflage the face from face detection technology. Using elements such as asymmetry, tonal inverse and the concealment of certain facial features, you will be able to learn and test which design combinations are most effective in hiding from facial recognition technology.