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This chapter explores creative drawing mediums in research practice and education, through speculative drawing methods, and the use of temporal mediums such as film, animation, and augmented reality [AR] to move outside entrenched perspectives of communicating towards more inclusive storytelling narratives. Architectural representation mediums provide means of conveying rich layers of information, having evolved through cultural influences and technologies with their origins in Western world views. However, these methods of drawing are limited in how they convey multiple and diverse views or social understandings, ultimately delivering static representations. The student and staff approaches discussed in this chapter demonstrate approaches that recalibrate from a singular, designer-led perspective to one that is multivalent, considering and engaging other stakeholders in the negotiations and conversations of the spaces in our built environments. Through making architectural communication more accessible and inclusive of diverse audiences and voices, alternative world views can be both enabled and facilitated.

This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.

In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.

Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.

The volunteer basis of this study meant that the sample was not representative or generalisable.

Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.