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

Publication

01-28

The Resource Debate in Machine Translation and Large Language Models

Paolo Caffoni

Publication

01-19

The Cultural Politics of Artificial Intelligence in China

Qiaoyu Cai

Publication

12-15

BatchTopK Sparse Autoencoders

Patrick Leask

Publication

12-15

Stitching Sparse Autoencoders of Different Sizes

Event

12-06

Carceral Diffusion: From Galton's Criminal Composites to Horse-riding Astronauts and Beyond

Eleanor Dare

Event

09-19

Response-ability in Sociotechnical Systems Design

Claude Draude

See full chronology

Subprojects

Sociotechnical case study

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

Forensics toolkit

Latent mechanistic interpretability

Forensics toolkit

Exploratory machine learning interfaces

Sociotechnical case study

AI Design Interventions for Social Diversity

Sociotechnical case study

AI Interpretability and Accountability in the Humanitarian Sector

Sociotechnical case study

Interpretability and Accountability of AI Systems in the Sciences

Sociotechnical case study

Scopic regimes of neural wiring

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