Term tag: accountability

Accountability

Who answers when an AI system causes harm — how the EU AI Act assigns duties by role, and the audit, disclosure and reporting mechanisms that enforce them.

AI for Good

AI for Good is an aspiration, not a technique, and nothing certifies the label. Here it is tested against named projects with published, measured results.

AI in Finance

Machine learning that approves loans and blocks card fraud — where you ship the most accurate model you can defend, not the best one you can build.

Bias in AI (Algorithmic Bias)

Why AI systems produce unfair outcomes: how bias enters through data and proxy labels, and why no model can satisfy every definition of fairness at once.

Ethics in AI

AI ethics is what happens when good principles provably conflict: fairness against fairness, privacy against accuracy, and whose values get to decide.

Model Card

A model card is a short document shipped with a released AI model stating its intended use, training data, and evaluation broken down by group.

Privacy

In AI, privacy is about what a model can memorize and leak about people, and the techniques—differential privacy, federated learning—that limit it.

Transparency

Transparency in AI is the degree to which a system's data, workings, and decisions are visible and disclosed to users, auditors, and regulators.