Alasdair’s work focuses on the collaborative systems that artists build around new technologies.  As part of Serpentine’s Creative AI Lab he studies how machine learning is increasingly integrated into artistic workflows, becoming part of broader and more complex systems of tooling. He researches curatorial methods for how best to support such emerging practices, records histories of their construction (such as with 0rphan Drift & Etic Lab’s ISCRI, and dmstfctn’s God Mode) and develops practice-informed theories in parallel. Alasdair has focused on developing collaborative spaces and methods for in-depth conceptual exploration, a research process which feeds forward into the technical development of artistic projects. As established support structures in AI art practice increasingly focus on the technical, this curatorial method for ‘conceptual R&D’ aids artists to bridge the complexities of machine learning as it is deployed in specific cultural contexts. More broadly, Alasdair’s focus on transdisciplinary collaboration makes Gray Area a vital case study towards an understanding of institutional infrastructures for ambitious artistic projects that draw together expertise not just between the artistic and the technical, but also from diverse disciplines.  
If you are an artist working with machine learning in the Bay Area, feel free to reach out to Alasdair directly at [email protected].