Academic Automation, Machine Un/Learning and Artificial Non/Intelligences
Over the last 70 years, computational and networked media have become deeply integrated with higher education and have slowly adopted and integrated various technologies. The newest generation of technologies engaging higher education centers around what is popularly called artificial intelligence, otherwise known as machine learning. Machine learning creates models that self-design solutions that may include interaction, prediction, and other simulatable aspects. In other words, it is an attempt to automate certain processes. This special issue invites papers that engage with technological automation, machine un/learning, and artificial non/intelligence in the academic context. It seeks critical papers that examine questions around automatic grading, artificial teaching assistants, robotic instructors, other educational technologies, and the transformation of the student and professor roles concerning these technologies.
This call for papers also seeks papers that engage these technologies in other academic roles, such as research or service. How are these technologies mediating different academic functions? Who benefits from these technologies? And who is privileged by them? How will these technologies change undergraduate education or graduate education?
It asks authors to consider the roles of craft, artistry, and humanity in those roles. Is there an argument to be made for automation in the academy? Is there an argument to be made for AI/Machine learning in the academy? What kind of relations do these establish? Following Ivan Illich, should we rethink our relations to develop tools and systems that treat us as human, perhaps even more human than our current system? Following Virilio, what will be their accident?Â
Papers should be 3000-8000 words, following the Fastcapitalism author guidelines:
Submit to:Â https://fastcapitalism.journal.library.uta.edu/index.php/fastcapitalism
Papers are due by March 15
Papers will undergo review with the intent to publish before September.
Please contact Special Issue Editor Jeremy Hunsinger email@example.com if you have questions