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

11-07

Vectors for Workers: Models of Automation and Autonomy in the Long AI Century

Matteo Pasquinelli

Publication

10-15

Matters of Explanation: Rethinking Explainability with Tangible, Embodied, Material Interactions

Event

10-07

Art x AI: Who Makes, Who Owns, Who Decides?

Fabian Offert

Event

09-11

Vector Media

Fabian Offert

Publication

08-01

New Materialist Informatics: New Materialism/Computer Science/Technology Design

Publication

08-01

Posthuman Convergences: Transdisciplinary Methods and Practicess

Goda Klumbytė

See full chronology

Subprojects

Sociotechnical case study

AI Design Interventions for Social Diversity

Forensics toolkit

Latent mechanistic interpretability

Sociotechnical case study

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

Sociotechnical case study

Scopic regimes of neural wiring

Sociotechnical case study

Interpretability and Accountability of AI Systems in the Sciences

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