Home  | News

28.04.2026

Teaser image to Björn Ommer: How AI can transform society if we use it responsibly

Björn Ommer: How AI Can Transform Society if We Use It Responsibly

Research Film

How can we make high-performance AI accessible to everyone without the need for massive computing centers?

«AI should be a tool that empowers everyone, not just those with the most computing power.»


Björn Ommer

MCML PI

MCML PI Björn Ommer explains the philosophy behind Stable Diffusion and why his team focuses on efficiency. By condensing complex AI processes, they enable powerful tools to run on standard consumer hardware, ensuring that privacy and control remain in the hands of the user.

In this video series, discover how MCML researchers are bridging theory and practice to build AI systems that prioritize accessibility, sovereignty, and impact.

 

The film was produced and edited by Nicole Huminski and Nikolai Huber.

#blog #research #ommer

Related

Link to Benjamin Lange: The Real Risk of AI Agents is Manipulation Through Kindness

02.06.2026

Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness

MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.

Read more
Tiny logo
Link to MCML at CVPR 2026

02.06.2026

MCML at CVPR 2026

MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).

Read more
Tiny logo
Link to MCML at ICRA 2026

29.05.2026

MCML at ICRA 2026

MCML researchers are represented with 3 papers at ICRA 2026.

Read more
Link to Zeynep Akata: To Trust AI, We Need to Understand What Goes On Behind the Scenes

28.05.2026

Zeynep Akata: To Trust AI, We Need to Understand What Goes on Behind the Scenes

MCML PI Zeynep Akata explains that to trust AI, we must understand its inner workings, address foundation model bias, and make explainability central.

Read more
Link to Medical diagnoses: how AI explanations help doctors

27.05.2026

Medical Diagnoses: How AI Explanations Help Doctors

Stefan Feuerriegel shows that AI models can improve diagnostic accuracy in radiology – but how the AI explains its recommendations is crucial.

Read more
Back to Top