Intermediate · Safety

Algorithmic Transparency

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. The ability to understand how and why an algorithm makes specific decisions or predictions.

Technical Definition

The ability to understand how and why an algorithm makes specific decisions or predictions.

How it works

Algorithmic transparency is a key component of explainable and ethical AI, particularly important in domains like finance, law, or healthcare. It involves making the internal workings and decision criteria of AI models understandable to humans. This addresses concerns about bias, fairness, and accountability in black-box AI systems.

Related Concepts

• Explainable AI (XAI) — A set of techniques that allow humans to understand the output of AI models, especially deep learning models.
• Ethical AI — The study and practice of designing, developing, and deploying AI systems in a responsible and morally sound manner.
• Model Interpretability — The degree to which a human can understand the causality of an AI model's prediction.