AI Talks & Workshops

I bridge the gap between deep technical research and real-world application. In addition to my academic teaching, I partner with companies, NGOs, and public institutions to provide a grounded perspective on the rapid developments in Artificial Intelligence—from strategic orientation to solving specific technical challenges.

Format & Availability

I am available for various formats, ranging from specialized academic lectures and panel discussions to engaging public-facing keynotes for festivals and general audiences.

Approach: Beyond knowledge transfer, I often work with partners on applied problem-solving, helping to evaluate the feasibility of AI projects or addressing hands-on technical and ethical hurdles in their specific domain.
On-site & Remote: I am primarily available for on-site engagements in Munich and on a national level across Germany, as well as high-quality digital formats for distributed teams.
Bilingual: All sessions and consulting are available in English and German.

Core Topics

The focus of each session is tailored to the audience's background and objectives. Frequent themes include:

AI Overview & Large Language Models (LLMs): A factual assessment beyond the hype. How do models like ChatGPT function technically, what can they truly achieve, and where are their inherent systemic limitations?
AI & Creativity: Exploring the tension between algorithmic generation and human expression. As an expert in music and singing voice analysis, I discuss how data shapes our cultural perception and the evolving role of authorship.
AI & Ethics: Identifying and mitigating bias in AI systems. I share insights from my research on regional stereotypes (e.g., the "East Germany Bias") and discuss approaches for fair and accountable algorithms.
Technical Deep Dives: Specialized sessions on Natural Language Processing (NLP), Social Media Analysis, Automatic Speech Recognition (ASR), or Music Information Retrieval (MIR).

Sample Workshop: AI Orientation & Strategy

This half- to full-day workshop is designed for teams and organizations at the beginning of their engagement with AI. The goal is to build a solid foundation and identify realistic opportunities for implementation.

Part 1: Knowledge Foundation

Introduction & Overview: The current state of the technology, minus the marketing buzzwords.
Technical Background: How are these models built, and how do they differ from traditional software?
Possibilities & Limitations: What can AI actually do today? Understanding why "hallucinations" and overconfidence occur.
Ethical Issues & Consequences: Insights into data privacy, copyright, as well as societal and cultural impacts.
Future Directions: Where is research heading in the next 12–24 months?

Part 2: Application & Transfer

Specific Recommendations: An overview of tools and frameworks relevant to the customer's specific field.
Interactive Session: A deep dive into possible use cases and integrations within your organization.
Discussion & Q&A: Dedicated time for addressing specific concerns, internal policies, or technical inquiries.

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