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    Fair AI Research for Law Enforcement Agencies

    Fair AI Research for Law Enforcement Agencies

    An interdisciplinary investigation in the context of cryptoasset forensics

    Research

    Related Work

    • Deck, L.; Schoeffer, J.; De-Arteaga, M.; Kühl, N. (2024): A Critical Survey on Fairness Benefits of XAI. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT).
    • Deuber, D., Ronge, V., Rückert, C. (2022),SoK: Assumptions Underlying Cryptocurrency Deanonymizations, Proceedings on Privacy Enhancing Technologies 2022 (3):670–691
    • Fröwis, M.; Gottschalk, T.; Haslhofer, B.; Rückert, C.; Pesch, P., Safeguarding the Evidential Value of Forensic Cryptocurrency Investigations, Forensic Science International: Digital Investigation, Vol. 33, June 2020, 200902.
    • Rückert, C., Ein Blick in die Blackbox - Künstliche Intelligenz und Machine Learning als Beweismittel im Strafverfahren, GA 2023, S. 361-367.
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