Special Focus Session

SF 20a - Building trust: pitfalls in artificial intelligence in daily practice

March 1, 14:00 - 15:30 CET

5 min
Chairperson's introduction
15 min
What should I know before buying an AI tool?
  1. To review the main categories of points to consider before purchasing an AI solution.
  2. To provide a framework for the assessment of commercial AI solutions in clinical practice.
  3. To briefly discuss relevant regulations that apply to AI solutions in clinical practice.
15 min
AI in practice: adoption, aversion and automation bias
  1. To identify consequential biases and traps in using AI solutions in practice.
  2. To distinguish between healthy and unhealthy human-AI configurations.
  3. To reflect on the challenges and opportunities of developing expertise in using AI solutions in practice.
15 min
The dark side of explainable AI: adversarial attacks
  1. To learn about different technical approaches for explainable AI.
  2. To appreciate how adversarial examples can challenge AI systems.
  3. To discuss strategies to mitigate adversarial attacks and enhance the resilience of explainable AI models.
15 min
How sure is the AI tool: reporting together with AI certainty scores
  1. To learn about the two main types of uncertainty affecting AI algorithms and their differences.
  2. To appreciate three methods for uncertainty quantification in AI algorithms and how they differ from model calibration.
  3. To learn about three applications of uncertainty quantification in radiology workflows and discuss strategies for effectively communicating uncertainty.
25 min
Panel discussion: Are we ready to trust AI?