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  1. Enter the metrics: critical theory and organizational operationalization of AI ethics.Joris Krijger - 2022 - AI and Society 37 (4):1427-1437.
    As artificial intelligence (AI) deployment is growing exponentially, questions have been raised whether the developed AI ethics discourse is apt to address the currently pressing questions in the field. Building on critical theory, this article aims to expand the scope of AI ethics by arguing that in addition to ethical principles and design, the organizational dimension (i.e. the background assumptions and values influencing design processes) plays a pivotal role in the operationalization of ethics in AI development and deployment contexts. Through (...)
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  • From the Textual to the Digital University. A philosophical investigation of the mediatic conditions for university thinking.Lavinia Marin - 2018 - Dissertation, Ku Leuven
    Starting from the current trend to digitise the university, this thesis aims to clarify the specific relation between university thinking and its use of media. This thesis is an investigation concerning the sensorial and medial conditions which enable the event of thinking to emerge at the university, i.e. conditions which do not make thinking necessary, but possible. Thinking is approached as an event which can happen while studying at the university, not as an outcome, nor a disposition or skill. The (...)
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  • Epistemology, assessment, pedagogy: where learning meets analytics in the middle space.Simon Knight, Simon Buckingham Shum & Karen Littleton - forthcoming - Journal of Learning Analytics.
    Learning Analytics is an emerging research field and design discipline which occupies the ‘middle space’ between the learning sciences/educational research, and the use of computational techniques to capture and analyse data (Suthers and Verbert, 2013). We propose that the literature examining the triadic relationships between epistemology (the nature of knowledge), pedagogy (the nature of learning and teaching) and assessment provide critical considerations for bounding this middle space. We provide examples to illustrate the ways in which the understandings of particular analytics (...)
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