Welcome to the AI Guest Talk Series — where experts from industry, academia, and society discuss current trends, challenges, and opportunities shaping the future of Artificial Intelligence.
This series has been made possible thanks to the HPI project “KI-Servicezentrum Berlin-Brandenburg (https://hpi.de/en/ai-service-centre/)”, which is funded by the Federal Ministry of Research, Technology and Space under the funding code 16IS22092.
Responsibility for the content of the videos publication remains with the speakers.
In this talk, Jonas Bernhard (Merantix Momentum) explores the growing challenge of distinguishing real content from AI-generated content, given that advances in generative models are making deepfakes increasingly convincing. The session addresses the creation of deepfakes, the definition of 'real' versus 'fake' imagery, and how they can be detected when visual inspection is insufficient.
22 Jan 2026
Regulatorische Aspekte von KI - Was kommt auf die Unternehmen zu?
In this talk, Florian Spengler (nenna.ai) provides an overview of the most important data protection and AI legal obligations. The session explores how these regulatory frameworks intersect, where tensions or conflicts may arise in practice, and what this means for organizations deploying AI systems. Drawing on real-world examples, Florian Spengler offers practical guidance and recommendations to support compliant, responsible, and effective implementation.
15 Oct 2025
KI & Recht - Chancen und Risiken im Zeitalter intelligenter Maschinen
71% of employees in Germany use AI tools at work – often without their employer's approval. This raises an increasingly important question for companies: What is legally permissible, where are the risks, and how can safe use of AI be guaranteed? In this guest talk, lawyer and data protection representative Esther Anna Watorowski highlights the opportunities offered by AI and shows how companies can use AI in a legally compliant manner.
25 Sept 2025
Bessere Daten zu unseren Bächen mit Open Hardware und KI
AI is only as good or bad as its database. Small bodies of water are essential for our ecosystem, but there is a lack of reliable data on water levels and quality. The OpenRiverSense pilot project from the “KI-Ideenwerkstatt X Prototype Fund Hardware” ideas competition is testing cost-effective open hardware sensor solutions that measure continuously, make data available online and evaluate it with the help of AI. In this guest talk, project coordinator Urs Bösche provides insights into the pilot project. Program manager Reinhard Messerschmidt briefly introduces the KI-Ideenwerkstatt.
7 Aug 2025
Shaping Technology with Courage - Empowering Women with AI & Design Thinking
As artificial intelligence reshapes the way we work and live, one question stands out: How can we empower more people, especially women, to help shape it? In her talk, Bao Nguyen shares her journey of creating her own AI learning format. Through design thinking and a human-centered approach, she fosters courage, makes AI accessible, transforms curiosity into practical skills, and encourages broader participation in the technological revolution.
26 Jun 2025
KI macht Schule
In her talk, Auguste Schulz presents how KI macht Schule integrates AI education into classrooms through a GDPR-compliant learning platform that combines hands-on experiences—like training a simple AI model—with critical reflection on the ethical and societal dimensions of AI. She illustrates how the initiative bridges the gap between cutting-edge research and school curricula, empowering students to understand, question, and shape the role of AI in society.
19 May 2025
Responsible AI - Ethical Choices in the Age of Intelligent Machines
In her talk, Dilem Kaya—Master student at the Hasso Plattner Institute and AI Ethics team member at SAP—explores the ethical dimensions of AI, asking not what machines can do, but what they should do. She examines the societal and technological implications of advanced AI systems that surpass human performance, emphasizing the importance of transparency, accountability, and human-centered design.
17 Mar 2025
An Introduction to Agentic AI
The concept of Agentic AI is changing the way we understand intelligent systems. Unlike traditional AI models, Agentic AI systems are designed to act autonomously - making decisions, performing tasks, and interacting dynamically with their environment. This shift is fueled by innovative architectures and emerging frameworks that enable these systems to exhibit greater adaptability and intelligence. In this talk, Dr. Arman Nassirtoussi explores the rise of Agentic AI, examining how it builds on and goes beyond traditional AI paradigms.
18 Feb 2025
Design Thinking & AI
Artificial intelligence expands the possibilities of design thinking by taking creativity and problem-solving expertise to a new level. At the same time, design thinking ensures that people remain at the centre of a technology-driven world. In this talk, Samuel Tschepe explores the interplay between people, methods and machines and opens up new perspectives for innovative processes.
25 Nov 2024
Human-in-the-Loop: Practical Lessons for Building Comprehensive AI Systems
AI systems often struggle with data limitations, changes in data distribution over time, and poor user experience. Human-in-the-loop design offers a solution by placing users at the centre of AI systems and using human feedback for continuous improvement. In this talk, Adrian Loy of Merantix Momentum dives deep into a large-scale automated rodent behaviour analysis tool. The system allows users to identify and annotate relevant segments within a large corpus of video data.
6 Jun 2024
Profitable AI
Dive into profitable AI with Elizabeth Press, founder of D3M Labs and data leader, strategist and cybersecurity expert with 20 years of experience in digitalization, data and AI. Despite the hype and activity, German companies are struggling to operationalize and deploy AI, let alone use it to drive profitable growth. This talk delves into the profitability of AI, focusing on the business case and productization – aspects that are often underestimated. The talk also addresses the challenges of implementing and executing AI, exploring key topics such as MLOps and data readiness, including quality and governance.
22 Apr 2024
Generative AI in Banking
Max Sommerfeld, a Lead Data Scientist at Deutsche Bank, explains, why he sees generative AI (genAI) as a huge opportunity for the banking industry and the banking industry in turn as the ideal place to apply generative AI. To this end, he presents established and emerging use-cases of generative AI in banking. In addition, Max Sommerfeld discusses the technical challenges and how to solve them as well as regulatory challenges and the resulting question of how generative AI in banking can be made safe and trustworthy.
27 Jul 2023
Federated Learning
Ramin Khalili, Huawei Munich Research Center, presents a new method in the field of Federated Learning (FL) that allows successive freezing and training of the parameters of a FL model, thus reducing the resource requirements of the training on the devices while still allowing sufficient co-adaptation between parameters.
17 May 2023
Democratizing and Productionizing LLMs
The KI Service Center @HPI is honored to announce the first KISZ talk by Matei Zaharia. Matei is an associate professor at Stanford CS, where he works on computer systems and machine learning as part of the Stanford DAWN Project. He also co-founded and is the Chief Technologist of Databricks, a data and AI platform startup.
Background: The effort to democratize large language models aims to expand access and usage of these complex neural networks to a wider audience. Dolly 2.0 is the first open-source, instruction-following LLM, fine-tuned on a human-generated instruction dataset licensed for research and commercial use. Databricks are open-sourcing Dolly 2.0 in its entirety, including the training code, the dataset, and the model weights; its licence is suitable for commercial use. Hence, any organisation can create, own, and customise powerful LLMs that can talk to people, without paying for API access or sharing data with third parties.
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