AI’s Black Box: Decoding the Unknown

AI Advances, But Mystery Deepens

While artificial intelligence continues to outperform humans in tasks like vision recognition and language processing, scientists admit they don’t fully understand how these systems work internally. This has sparked debates around AI explainability and trustworthiness.

The Transparency Challenge

At the heart of the issue is the ‘black box’ nature of deep learning. These models produce remarkable results but offer little insight into the step-by-step logic behind their predictions, prompting calls for greater interpretability and accountable design.