interpretability

Interpretability refers to how easily a model or system’s results can be understood and explained, making it clear how decisions or predictions are made.

How can you guarantee AI systems are transparent and fair?

To ensure AI systems are transparent and fair, we implement various techniques such as explainability, interpretability, fairness, and bias detection.…

8 months ago

What are the challenges in ensuring transparency and explainability in AI algorithms?

Ensuring transparency and explainability in AI algorithms is crucial for building trust and addressing concerns related to algorithmic biases, decision-making,…

1 year ago

What are the limitations of AI in natural language understanding?

AI in natural language understanding has made significant progress, but it still has limitations. These limitations include semantic ambiguity, complex…

1 year ago