AI Forensics

Accountability through interpretability in AI systems

An interdisciplinary research project of HfG Karlsruhe, Universität Kassel, Durham University, Cambridge University, and UC Santa Barbara; funded by the VolkswagenStiftung, 2022–2026.

Project timeline

Publication

08-03

Beyond Understanding: The Under-Explored Role of Affect in Student-AI Interactions

Publication

06-05

Machine, Organism, and Language: A Comparative Epistemology of AI Models

Matteo Pasquinelli

Publication

04-28

Vector Media

Publication

04-01

The cost of language: tokenization as a metric of labor

Paolo Caffoni

Publication

02-19

Synthesizing proteins on the graphics card: protein folding and the limits of critical AI studies

Event

02-16

Critique of AI

Matteo Pasquinelli

See full chronology

Subprojects

Forensics toolkit

Latent mechanistic interpretability

Sociotechnical case study

AI Design Interventions for Social Diversity

Sociotechnical case study

Machine Translation as a Technology of Bordering

Sociotechnical case study

Interpretability and Accountability of AI Systems in the Sciences

Scopic regimes of neural wiring

Forensics toolkit

Exploratory machine learning interfaces

Sociotechnical case study

AI Interpretability and Accountability in the Humanitarian Sector

Toolkit + Case study

Exposing.ai – the production pipeline of facial recognition systems

Sociotechnical case study

AI Interpretability and Linear Cause-Effect Models in Medicine: Is Non-Linear Diagnosis Possible?

Subprojects overview