Back in early April on a trip to the Theorizing the Web conference in New York, two artists-in-residence at New Inc, Stephanie Dinkins and Francis Tseng, invited me to test out something at their monthly “AI Assembly”.
I believe that it is difficult for everyday users to understand and make sense of digital technologies; and specialists like computer scientists or lawyers can be restricted by their disciplinary training in being able to see the ways in which technology and society interact.
Yet, I think we have to inspire a wider conversation about digital literacies given the present and future of ubiquitous computing and artificial intelligence. From data breaches, to the complex decision-making expected of machine learning, what are the ways in which people may conceptualise values and norms for regulating human-machine relationships in a near future?
There are a number of methods to map out the social-political-economic dimensions of future scenarios, and they’re commonly used across different fields in the automotive industry. (Mathematical modeling for predicting crashes has in fact been around since the 1980s). I’ve also been thinking about using SF (speculative fiction, science fiction, speculative feminism, science fabulation, string figuring: Donna Haraway expands SF beyond ‘science fiction’) as a way of telling stories about power, society,and technology.
Inspired by these, I’m curious about the imagination, and the role that imaginaries play in shaping and articulating how people think about a near future with machines and technology. I believe that ‘socio-technical imaginaries’, a concept developed by Sheila Jasanoff and Sang-Hyung Kim, underlie and shape the development of technologies in society, may be an interesting theoretical framework to adopt and adapt. I’m trying to find a way to bring these elements together, and the New Inc experiment is part of that.
Here’s more about all this on the Cyborgology blog here.