MOTUS: Safe and Responsible Co-bots in Healthcare and Industry

Many researchers are working on bringing advanced AI capabilities to co-bots. However, AI is often unaware of its own mistakes. When the AI is simply ChatGPT writing an e-mail, at worst, its mistake will mean that e-mail makes no sense. But if the AI controls a co-bot, its malfunction can injure workers or destroy the robot’s surroundings. 

1813AI: Responsible AI for the Emergency Hotline

1813AI focuses on citizens with injuries and is developing a citizen-facing, adaptive AI chat solution that, through a new self-service app, will provide guidance and retrieve information during wait time. This creates faster access to help, reduces staff stress, and contributes to a more equitable and efficient healthcare service.

FAIRFM: Towards equal access to ultrasound scans

The quality of a fetal scan depends on the operator’s experience and the mother’s individual physiology, meaning some women receive more accurate assessments than others. The FairFM project aims to eliminate this disparity by developing AI that detects and corrects biases, ensuring all pregnant women have equal access to early and accurate fetal diagnostics.

EXPLAIN-ME: Learning to Collaborate via Explainable AI in Medical Education

Together with clinicians, this project aims to develop explanatory AI that can help medical staff make qualified decisions by taking the role as a mentor who provides feedback and advice for the clinicians. It is important that the explainable AI provides good explanations that are easy to understand and utilize during the medical staff’s workflow.