Slow Reading Group AI and Gender Inequality (by fellow Renee Turner)

Against the pace of infinite urgencies surrounding AI, the slow reading group embraces deceleration to:                   
    •    look at gender inequality & AI, while not reinforcing the binary.
    •    engage in an intersectional (Crenshaw) approach which slowly maps out different themes and issues to plot areas of deeper enquiry.      
    •    commit to inter/transdisciplinary approaches that do not seek to centre technology but rather situate and challenge it (ethos: Audre Lorde’s adage that the master's tools will never dismantle the master’s house.)  While conversely, and even in contradiction to the former, as a part of this decentering, envision technology in its broadest and most entangled sense (Haraway) as neither tool, nor interface.
    •    foster forms of fictioning that engage with speculative imagination in order to reach outside the restraints of so-called wicked problem paradigms and the conundrums of the present to prototype what might be otherwise or yet to be imagined.         
    •    invite guests into the reading group to challenge assumptions and expand horizons.
    •    share knowledge by generating a living glossary and bibliography of references (including forms of practices, texts and other resources), while resisting the calcification associated with ‘required reading’.              
    •    seek various ways of making the process of enquiry visible such as online talks, publishing and collaborative note-taking.
    •    explore the idea of machine pedagogies versus machine learning in order to interrogate what is knowledge and its acquisition in this context.
    •    search for and acknowledge our blindspots and biases as we move along.
    •    read up (Corita Kent).
    •    update and alter these aims in light of insights.
 
Reading methods: slow code reading, quilted/fragmented reading, adjacent reading, annotation as reading, transcription as reading, reading aloud, divination reading, reading through translation, reparative reading, dataset reading, temporal drag reading etc. 

Slow Readers

Michelle Teran
Linda Lee
Cristina Cochior
Sonia de Jager
Danae Tapia
Agathe Balayn
Sieta van Horck
Seda Gurses
Noemi Biro
Renée Turner

Time and Date