#8 Education, Technology and Image-Analysis A Conversation with Prof. Benjamin Risse (GER)

In the latest episode of the Born und Kepler podcast, host Andreas Deptolla sits down with Prof. Benjamin Risse from the University of Münster to explore the fascinating world of artificial intelligence. From computer vision to the challenges of AI in real-world applications, Risse shares his insights into where AI is thriving, where it’s failing, and why the biggest concerns may not be about AI itself—but about those who wield it.

AI and the Limits of Perception

One of the most intriguing discussions in this episode revolves around a fundamental limitation of AI: its struggle to identify small, fast-moving objects in complex environments. Risse’s research focuses on computer vision and machine learning, particularly in the realm of insect monitoring. While AI can easily recognize large objects like zebras in the wild, it has significant difficulties detecting insects, which often blend into their surroundings and move unpredictably.

This has profound implications beyond just entomology. The same technological gap affects fields like medical diagnostics, autonomous driving, and even security surveillance. If AI cannot reliably detect tiny, dynamic elements in an image, how can it be trusted in critical real-world applications? Risse’s team is working on solutions, combining AI with neuromorphic sensors—hardware inspired by biological vision systems—to bridge this gap.

The Real AI Threat? Not AI Itself

One of the more thought-provoking moments in the discussion is Risse’s stance on the so-called "threat of AI." While dystopian narratives suggest that AI could one day surpass human intelligence and turn against us, Risse takes a different view: the real danger lies not in AI itself, but in how humans choose to use it.

His concerns center on misuse and manipulation, particularly in areas like deepfake technology, mass surveillance, and AI-driven misinformation campaigns. The idea that AI is some self-aware entity waiting to seize control is, in his opinion, pure science fiction. The real challenge is ensuring responsible AI governance and preventing bad actors from exploiting it.

AI Research: The Battle Between Academia and Industry

The conversation also touches on the shifting landscape of AI research. Traditionally, breakthroughs in AI originated in academic settings, but today, much of the cutting-edge work is happening within large tech companies like OpenAI, Google, and Microsoft. These corporations have the financial resources to develop the most advanced models, leaving universities in a tough spot. Instead of competing on the same playing field, Risse suggests that academic institutions should focus on highly specialized applications—such as insect tracking or niche medical AI—where they can still make a major impact.

What’s Next?

This episode of Born und Kepler provides a refreshing, pragmatic look at the future of AI. It raises essential questions about the realistic limits of AI, its ethical implications, and the role of academia in shaping its development. For anyone interested in where AI is truly heading (and where it’s not), this is an episode you won’t want to miss.

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