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dr. ing. Charlotte Knickrehm

Assistant Professor, School of Business and Economics, Knowledge, Information and Innovation

Personal information

Charlotte Knickrehm is Assistant Professor at the Department of Knowledge, Information and Innovation (KIN Center for Digital Innovation) at Vrije Universiteit Amsterdam. She holds a PhD from the Ruhr University Bochum (2025).

Research

Charlotte's research looks at the relationship between people and AI from two sides. On one side, she uses AI to analyze human behavior and communication, for example how a manager's voice during an earnings call reveals information that investors pick up on. On the other side, she studies what people do once these tools enter their work: when they trust AI, when they resist it, and how they adapt when AI starts to analyze, judge, or replace parts of what they do.

Her work examines how AI changes the way information and knowledge flow between people and organizations, and what this means for decision-making, expertise, and professional roles. Taken together, her research asks what AI can learn about humans, and what humans do in turn when AI is watching, advising, or deciding alongside them.

  • Industry: Financial Services, Banking, Manufacturing, Retail, Technology.
  • Sector: Private sector, financial markets, professional services, industrial organizations.
  • Application Domain: Human-AI collaboration, AI adoption, financial communication, explainable AI, organizational transformation.

Charlotte's research specifically looks at how AI both reads and reshapes human behavior. She studies topics such as vocal persuasion in earnings calls, whether multimodal AI models actually use what they hear, how professionals cope when AI threatens their authority, employee engagement with generative AI knowledge assistants, and the hidden costs people bear when collaborating with AI. Grounded in an information economics perspective, her work draws on deep learning, experimental, and qualitative research methods.

Teaching

Charlotte teaches bachelor's, master's, and executive-level courses in business information systems and applied artificial intelligence for business. Her teaching helps students understand the fundamentals of emerging technologies well enough to turn them into real value for organizations, while keeping the people who work with these technologies in view.

She combines real-world cases and practitioner input with hands-on experience, so students not only learn about AI and digital technologies but also work with them directly. Her goal is to prepare students to bring new technologies into organizations with both technical understanding and attention to the human side of change.

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