XAI presentation

Multiple Choice

What is the primary purpose of Explainable AI (XAI)?

• To make AI systems less accurate.

• To reduce the need for human oversight in AI systems

• To make AI systems more transparent and understandable

• To simpify the AI development process

Multiple Choice

Which is NOT one of the 3 key XAI techniques?

• Prediction Accuracy
  

• Traceability

• Decision Understanding

• Explainability

Multiple Choice

Which technique is used to enhance predictability by explaining the predictions of classifiers?

• Traceability

• DeepLIFT

• LIME

• Decision Understanding

Multiple Choice

Explainability means:

• knowing how the underlying (AI) technology works (rules)

• knowing how the AI-based system came up with a given result

Multiple Choice

What does the term "Drift" refer to in the context of AI models?

• The movement of AI models to new platforms

• AI models learning how to drift muscle cars

• The degradation of model performance over time due to changing data

• The improvement of AI models over time without intervention

Multiple Choice

What is true about using DL-Learner in Explainable AI (XAI)?

• Decreses the computational cost of AI models

• Extracts human-interpretable rules and concepts from black-box models

• Simplifies the data collection process

• Reduces the need for domain expertise in AI development

Multiple Choice

What is not a current limitation of XAI?

• Adversarial parties

• Responsibility vs Explainability

• Understanding versus Trust

• Technical complexity