Understanding Human-Centered AI: Beyond Performance Metrics Human-centered AI is an approach to designing artificial intelligence systems that places human needs, values, and wellbeing at the
Why Testing AI Systems is Essential Testing AI systems is akin to giving them practice exams before they begin real-world operations. This process helps determine
What are AI Prototypes? AI prototypes are early versions or models of artificial intelligence systems created to test and explore how the AI will perform
Introduction: Building Foundations, Why Safe AI Matters Safety is one of the most important parts of creating artificial intelligence (AI). When AI systems are safe,
Understanding AI Transparency: Why Being Clear Matters Transparency in AI systems is like turning on a light in a room — it helps everyone see
What It Is and How It Works Black Box AI refers to artificial intelligence systems whose inner workings are hidden or difficult for humans to
Understanding AI Auditing: Drawing Parallels with Financial Audits Just like traditional financial audits, AI auditing involves systematically reviewing and examining systems, but instead of focusing
Introduction to Explainability in AI Explainability in artificial intelligence (AI) refers to the ability to make AI systems clear and easy to understand. Much like
Understanding AI: The Basics Behind the Technology Artificial Intelligence, commonly known as AI, can be thought of as a smart helper built by humans through
Understanding Role-Based Access Control (RBAC) in AI Role-Based Access Control (RBAC) is a foundational method used to regulate who can access specific data or AI
