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, 2022–2025.

Project timeline

Event

06-12

The Predictive Turn of Language. Reading the Future in the Vector Space

Event

06-11

Questioning language models before and after AI

Matteo Pasquinelli

Event

06-05

Operativism, Mediation, and AI

Matteo Pasquinelli

Event

05-17

Empire Model Collapse: Information Entropy and the Toxic Implosion of Technofeudalism

Matteo Pasquinelli

Event

05-10

Artificial Intelligence in the History of Cultural Techniques

Matteo Pasquinelli

Event

05-08

Vector Media: Notes on the Epistemology of Machine Vision

See full chronology

Subprojects

Sociotechnical case study

A Pedagogy of Machines: Technology in Education and Universities in Translation

Sociotechnical case study

Interpretability and Accountability of AI Systems in the Sciences

Sociotechnical case study

Scopic regimes of neural wiring

Forensics toolkit

Latent mechanistic interpretability

Sociotechnical case study

AI Design Interventions for Social Diversity

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