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Dr.-Ing. Tim Polzehl

Contact +49 30 23895 1863 (Berlin)

Address (Berlin) DFKI Labor Berlin - HauptgebäudeAlt-Moabit 91cD-10559 Berlin

Publications

All publications
  1. Implications of Regulations on Large Generative AI Models in the Super-Election Year and the Impact on Disinformation

    Vera Schmitt; Jakob Tesch; Eva Lopez; Tim Polzehl; Aljoscha Burchardt; Konstanze Neumann; Salar Mohtaj; Sebastian Möller

    In: Proceedings of the Workshop on Legal and Ethical Issues in Human Language Technologies @ LREC-COLING 2024. Legal and Ethical Issues in Human Language Technologies (LEGAL-2024), located at LREC-Coling 2024, May 20, Torino, Italy, Pages 28-38, ELRA and ICCL, 2024.

Profile

  • VERANDA

    Trustworthy anonymization of sensitive patient data for remote consultations

    The primary aim of VERANDA is to explore and promote informational self-determination in the context of personal and sensitive medical data, especially among stigmatized groups. This includes…

    VERANDA
  • news-polygraph

    Privacy, transparency, bias-free, trustworthy multimodal disinformation fighting

    In the news-polygraph project, we are developing digital methods for the media industry, with the help of which multimedia content can be checked more easily and quickly for manipulation,…

    news-polygraph
  • Medinym

    AI-based anonymization of personal patient data in clinical text and voice databases

    In the Medinym project, we are pursuing the goal of completely anonymising the speaker identity of a speaker, both on voice and on statement/semantic level, without losing emotional or diagnostic…

    Medinym
  • PYSA

    Care documentation with a hybrid speech assistant

    Comprehensive and accurate documentation is essential for needs-based care. In many places, the systems and processes used today for care documentation are time-consuming and prone to errors.…

  • Emonymous

    Emonymous

    Interactive intelligent speech technologies are conquering our homes. In the Emonymous project, we are pursuing the goal of completely anonymizing a speaker's identity without losing emotional and…

    Emonymous