Artificial Intelligence Study Guides

The practices and procedures that AI system developers and operators must follow to ensure compliance with regulatory…

AI content generation techniques involve the use of artificial intelligence algorithms to create new textual, visual,…

Exemptions in AI regulations for certain developers and uses.

The AI Governance Maturity Model is a framework that helps organizations assess and improve their governance practices…

Governance structures in AI implementation refer to the frameworks and processes established to oversee and manage the…

AI inference refers to the process of using artificial intelligence models to calculate outputs or results based on…

AI Initiative Governance Assessment refers to the systematic evaluation of an organization's governance framework…

An AI model representation is a computational framework that encapsulates the elements and interactions within an AI…

AI performance improvement refers to the enhancement of artificial intelligence systems' accuracy, efficiency, and…

The laws, guidelines, and principles that govern the development, deployment, and use of artificial intelligence…

The set of rules, guidelines, and standards that govern the development, deployment, and use of artificial intelligence…

A structured approach to identifying, analyzing, and mitigating risks associated with AI systems, including the…

AI system autonomy levels refer to the degree of independence and decision-making capability that an artificial…

A multidimensional framework for categorizing AI systems based on factors such as people and planet, economic context,…

The process of designing, developing, deploying, and maintaining artificial intelligence systems, including ensuring…

Accountability in AI systems refers to the mechanisms that ensure actions, decisions, and outcomes of AI technologies…

A type of artificial intelligence that enables systems to exhibit autonomous behavior, make decisions, and achieve…

Evaluation process to ensure AI systems meet regulatory standards.

The concepts and methods used to ensure transparency and trust in AI systems, including explainability,…

Generative AI refers to algorithms that can create new content, such as text, images, or music, by learning patterns…

The concepts of generative and predictive AI, including their objectives, functions, training data requirements,…

Governance in AI initiatives refers to the frameworks, policies, and practices used to manage and control the…

Human involvement in AI decision-making refers to the extent to which individuals participate in or oversee decisions…

Human oversight in AI development refers to the processes and considerations by which humans guide, control, and…

Human-Centered AI Principles focus on ensuring that AI systems operate transparently, respect human rights, and achieve…

Incremental Heuristic Search refers to algorithms that improve search efficiency by reusing information from past…

Interoperability in AI systems refers to the capability of different AI applications and technologies to communicate…

Knowledge representation in neural networks refers to the way information and facts are stored and organized within the…

The process of designing, training, and deploying large language models, including the development of scalable model…

Large Language Models (LLMs) are a type of artificial intelligence technology that enables computers to process and…

Markov Decision Processes (MDPs) are mathematical frameworks for modeling decision-making situations where outcomes are…

Predictive AI refers to algorithms and models that analyze historical data to forecast future outcomes, facilitating…

A Problem Space represents all possible states and actions of a problem from the initial state to the goal state,…

This topic covers the importance of professional expertise in AI, including the development of specialized skills, the…

Responsible AI policy development refers to the structured approach organizations take to create guidelines and…

The understanding of AI systems as socio-technical systems, the need for cross-disciplinary collaboration, and the OECD…

Standardization in AI connectivity refers to the establishment of uniform protocols and interfaces that facilitate…

Transparency in AI systems refers to the obligation of AI creators and operators to disclose how AI systems function,…

The set of properties that make an AI system reliable, safe, secure, resilient, valid, and fair, including being…