Bias in AI refers to systematic errors in machine learning models that result in unfair, inaccurate, or discriminatory outcomes, often reflecting or amplifying existing societal biases present in the data. Bias can affect both the training process and the behavior...

Model interpretability refers to the ability to understand and explain how an AI or machine learning model arrives at its decisions.It is crucial for building trust, especially in high-stakes fields like healthcare, finance, and law. Interpretable models help users validate...

Explainable AI(XAI) refers to a set of techniques and principles aimed at making the behavior and decisions of AI systems understandable to humans. It is especially critical when AI models are used in high-stakes environments—such as healthcare, finance, law, or...

A White-Box Model is a type of machine learning model whose internal logic is fully transparent, interpretable, and understandable by humans. Unlike black-box models, white-box models allow users to trace exactly how input features influence predictions, making them ideal for...

A Black-Box Model refers to a machine learning or AI model whose internal workings are not easily understandable or interpretable by humans. These models often produce highly accurate results, but it’s difficult to explain how or why they arrived at...

Model Interpretability refers to the degree to which a human can understand the reasoning behind a model’s decisions or predictions. It plays a crucial role in evaluating whether an AI model behaves reliably, fairly, and transparently—especially in high-stakes or regulated...

An API (Application Programming Interface) is a set of defined rules and protocols that allows different software systems to communicate and interact with each other. In the context of AI and machine learning, APIs often serve as the interface between...

AI-as-a-Service (AIaaS) is a cloud-based offering that provides access to artificial intelligence tools and models on-demand, typically through APIs or platform integrations. Similar to SaaS (Software as a Service), AIaaS enables businesses to leverage AI capabilities without building or maintaining...

Cloud AI refers to the delivery of artificial intelligence (AI) capabilities via cloud computing platforms. It enables organizations and developers to train, deploy, and scale AI models without relying on local infrastructure. Cloud AI platforms offer access to powerful computing...