Autonomy & Accountability of Artificial Intelligence Agents

As part of our TQ Accelerator: Digital Finance, we are hosting a special networking event series to delve deeper into topics and trends affecting how we do business.

Navigating the Future of Intelligent Systems

As AI agents become increasingly autonomous—capable of making decisions, executing tasks, and learning independently—the imperative to ensure their accountability grows. This event brings together leading experts to discuss the ethical, legal, and practical challenges of deploying AI agents in various sectors and their institutions.

Featured Speakers

Sascha Beck
Executive Director & Financial Services Leader, GFT Technologies
Sascha oversees GFT's banking and insurance sectors in Germany and Austria. His expertise lies in IT strategy, leadership, and digital transformation. He also lectures on corporate banking and business administration.

Dr. Martin Pospiech
Associate Director of Technology and Innovation Management, Helaba
Martin specializes in integrating emerging technologies within the financial industry, driving innovation and strategic development at Helaba. ​

Prof. Dr. Kevin Bauer
Professor for Game-Theoretic and Causal AI in Business and Economics, Goethe University Frankfurt
Kevin's research bridges economics and computer science, focusing on explainable AI, algorithmic transparency, and human-AI interaction. He has collaborated with institutions like the German Bundesbank and the European Supervisor Education Initiative. ​

Ingo Rübe
Founder of KILT Protocol and CEO of BOTLabs GmbH, a Berlin-based blockchain R&D firm developing decentralized identity solutions.
He served as CTO of Hubert Burda Media, where he initiated the open-source CMS Thunder. Earlier, he was IT Project Director at Axel Springer. Ingo holds a degree in Computer Science from the Technical University of Berlin and is a founding member of the International Association for Trusted Blockchain Applications (INATBA).

Key Discussion Topics

• The evolving autonomy of AI agents and their decision-making capabilities.​
• Ethical considerations and the "moral crumple zone" in AI accountability. ​
• Regulatory frameworks and the role of human oversight in AI systems.​
• Case studies on AI agent deployment in finance.

Note: This text was written with the help of ChatGPT.