AI-SC 9 - Human-machine interaction: AI is only as effective as the minds that guide it
Lectures
1
Chairperson's introduction
03:00Daniel Pinto Dos Santos, Frankfurt / DE, Susan Cheng Shelmerdine, London / UK
2
Panel discussion
57:00Christina Malamateniou, London / UK, Elif Can, Freiburg Im Breisgau / DE, Clare Rainey, Portrush / UK, Ferdinand Mol, Alphen Aan Den Rijn / NL
Green Friday
3 min
Chairperson's introduction
Daniel Pinto Dos Santos, Frankfurt / Germany Susan Cheng Shelmerdine, London / United Kingdom
57 min
Panel discussion
Christina Malamateniou, London / United Kingdom Elif Can, Freiburg Im Breisgau / Germany Clare Rainey, Portrush / United Kingdom Ferdinand Mol, Alphen Aan Den Rijn / Netherlands
To discuss how targeted training programmes can strengthen the collaboration between healthcare professionals and (generative) AI systems, resulting in more accurate interpretations, minimising variability in clinical practices, and preventing underutilization of advanced technologies.
To appreciate the impact of user interface design on the workflows and interpretation of AI results by the end-users.
To understand how human input, guided by proper training and well-designed interfaces, can refine diagnostic and generative AI applications, ensuring ethical, reliable, and efficient collaboration between humans and machines in healthcare settings.