121 citations · 174 across the 5 of their papers we have counts for
5 papers
The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies
Jesse Josua Benjamin, Heidi Biggs, Arne Berger +5
Artificial intelligence (AI) technologies are widely deployed in smartphone photography; and prompt-based image synthesis models have rapidly become commonplace. In this paper, we…
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability
Jesse Josua Benjamin, Christoph Kinkeldey, Claudia Müller-Birn +2
During a research project in which we developed a machine learning (ML) driven visualization system for non-ML experts, we reflected on interpretability research in ML, computer-su…
Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry
Jesse Josua Benjamin, Arne Berger, Nick Merrill +1
Design research is important for understanding and interrogating how emerging technologies shape human experience. However, design research with Machine Learning (ML) is relatively…
Examining the Impact of Algorithm Awareness on Wikidata's Recommender System Recoin
Jesse Josua Benjamin, Claudia Müller-Birn, Simon Razniewski
The global infrastructure of the Web, designed as an open and transparent system, has a significant impact on our society. However, algorithmic systems of corporate entities that n…
PreCall: A Visual Interface for Threshold Optimization in ML Model Selection
Christoph Kinkeldey, Claudia Müller-Birn, Tom Gülenman +2
Machine learning systems are ubiquitous in various kinds of digital applications and have a huge impact on our everyday life. But a lack of explainability and interpretability of s…