On November 17 and 18, 2022, the conference »Art & Algorithms« took place at Ludwig Forum Aachen as part of the research project »Training the Archive«. The program included lectures addressing how artificial intelligence and machine learning models can change and impact access to museum collections. Amongst the presenters was Katrin Glinka of the HCC Data Lab.

Katrin's talk specifically addressed the potential of algorithmic processes to enable access to museum objects, collections, and image archives in a way that deviates from the canonical museum order. Aside from delineating this potential, Katrin also pointed out how new distortions or biases are introduced through algorithmic processes. To address the challenges that arise at this intersection of »old canons« and new algorithmic biases, Katrin's lecture highlighted and exemplified some of her own applied work and recent research on visualizations and human-AI collaboration. In order to realize the potential of algorithmic processes to challenge the old canon despite these new algorithmic biases, Katrin proposed to foreground critical reflection as a design principle and interaction paradigm when designing systems, interfaces, and interactions. To this end, she referenced a qualitative study on »Critical-Reflective Human-AI Collaboration« that since has been published in the Proceedings of the ACM on Human-Computer Interaction and can be freely accessed here.

You can access the video of Katrin's talk through this link as well as all other videos from the project »Training the Archive«, including all recorded talks from the conference »Art & Algorithms«, on this playlist.