Renee Turner Fellowship

From 2021 on Renée Turner is a V2_Fellow.

Renee Turner's research trajectory as V2_Fellow is concerned with AI & gender inequality. She has established an inter- and transdisciplinary Reading Group to do slow thinking with Lector Michelle Teran, members of the Erasmus University Transdisciplinary Group which is a part of the Rotterdam Arts and Sciences Lab, PZI alumni, students and persons of other digital/arts orgs based in Rotterdam.

Against the pace of infinite urgencies surrounding AI, the slow reading group will embrace 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.

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