intersynth Lab
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Theme · transparency

Verification & Transparency

We design frameworks for documenting, verifying, and auditing synthetic datasets so downstream users can trust what they are working with.

Related publications

2026
conference

StreamFair: Online Fair Adaptation Under Temporal Intersectional Drift

Md Fahim Sikder, Ericka Johnson, Fredrik Heintz

AI Transparency Conference (AITC) 2026

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2025
thesis

Making Sense of Medical AI: AI Transparency and the Configuration of Expertise

Charlotte Högberg

Lund University

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