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Despite breakthroughs in mathematics and coding benchmarks, general-purpose AI systems are not yet ready to deliver a step change in human productivity. Encoding nuanced human intent, managing feedback loops for alignment and debugging, and ensuring privacy, compliance, and trustworthiness are key challenges with regard to boosting our everyday productivity with AI assistants.

We are excited to welcome Seong Joon Oh, Professor at University of Tübingen, to our joint heidelberg.ai / NCT Data Science Seminar series.
In this online seminar, he will explore the key barriers to real-world AI deployment and present recent research aimed at overcoming them. The talk will also highlight strategic directions for the field in the years to come.

We look forward to your participation in this important discussion on the future of trustworthy, privacy-conscious AI that can truly assist us in our private and professional lives.

Zoom Details
https://dkfz-de.zoom-x.de/j/4525206170

For more info, visit:
https://heidelberg.ai/2025/08/14/seong_joon_oh.html

After the event, we will upload a video recording to our YouTube channel:
https://www.youtube.com/channel/UCfHWBneOsb7SfOxJepnMQKA

Artificial Intelligence
Artificial Intelligence Programming
Computer Vision
Deep Learning
Machine Learning

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