Dr. Vera Schmitt

Dr. Vera Schmitt

Head of XplaiNLP Research Group at Technische Universität Berlin and guest researcher at Speech and Language Technology at the German Research Center for Artificial Intelligence (DFKI)

About me

Research Interest of the XplaiNLP Research Group: Advancing Transparent and Trustworthy AI for Decision Support in High-Stakes Domains

At the XplaiNLP research group at the Quality and Usability Lab TU Berlin, we are researching on the future of Intelligent Decision Support Systems (IDSS) by developing AI that is explainable, trustworthy, and human-centered. Our research spans the entire IDSS pipeline, integrating advances in NLP/(M)LLMs, XAI/Interpretability, HCI, and legal analysis to ensure AI-driven decision-making aligns with ethical and societal values.

We focus on high-risk AI applications where human oversight is critical, including disinformation detection, social media analysis, medical data processing, and legal AI systems.

Our Applications: Tackling High-Risk AI Challenges

We adeveloping and deploying AI tools for real-world decision-making scenarios, including:

  • Disinformation Detection & Social Media Analysis: Investigating mis- disinformation, hate speech, propaganda and FIMI using advanced NLP, XAI and Interpretability methods.
  • Medical Data Processing & Trustworthy AI in Healthcare: Developing AI tools that simplify access to medical information, improve faithfulness and factual consistency in medical text generation, and support clinicians in interpreting AI-generated recommendations.
  • Legal & Ethical AI for High-Stakes Domains: Ensuring AI decision support complies with regulatory standards, enhances explainability in legal contexts, and aligns with ethical AI principles.

Through interdisciplinary collaboration, hands-on research, and mentorship, XplaiNLP is at the forefront of shaping AI that is not only powerful but also transparent, fair, and accountable. Our goal is to set new standards for AI-driven decision support, ensuring that these technologies serve society responsibly and effectively.