AI Policy Glossary

Artificial intelligence is rapidly becoming one of the most influential forces shaping global politics, economic competition, and technological governance. As governments, international organizations, and private actors increasingly engage with the opportunities and risks posed by AI, a new policy and diplomatic field has emerged: AI Diplomacy.

AI Diplomacy refers to the diplomatic practices, negotiations, policy frameworks, and international cooperation mechanisms that address the development, governance, and strategic implications of artificial intelligence. It sits at the intersection of international relations, technology governance, law, and global policy, bringing together actors from governments, academia, industry, and civil society.

Because the field is evolving quickly, discussions around AI diplomacy often involve terminology drawn from multiple disciplines, including technology policy, cybersecurity, international law, digital governance, and strategic studies. For readers, researchers, and policymakers entering this space, navigating the terminology can be challenging.

This glossary aims to provide a structured reference to the key concepts, terms, and policy frameworks commonly used in discussions of AI diplomacy and global AI governance. The definitions included here are based on widely accepted terminology from international policy literature, governance frameworks, and technology governance research.

By offering a consolidated vocabulary, this glossary seeks to support clearer discussions and deeper understanding of the emerging governance landscape surrounding artificial intelligence.

A

Algorithmic Accountability
The principle that organizations developing or deploying algorithms must be responsible for their impacts and outcomes.

Algorithmic Bias
Systematic and repeatable errors in algorithmic systems that create unfair outcomes for certain groups.

Algorithmic Governance
The use of algorithms to guide or regulate decision-making processes within institutions or governments.

Algorithmic Transparency
The degree to which the design, functioning, and decision-making processes of an algorithm can be understood and inspected.

Artificial Intelligence (AI)
The simulation of human intelligence processes by machines, especially computer systems, including learning, reasoning, and self-correction.

AI Accountability
Mechanisms ensuring that developers and deployers of AI systems are responsible for their actions and impacts.

AI Alignment
The process of ensuring that AI systems' objectives and behaviors correspond with human values and intentions.

AI Arms Race
Competition between states or organizations seeking strategic advantage through AI development.

AI Assurance
Processes designed to evaluate and demonstrate the safety, reliability, and trustworthiness of AI systems.

AI Capability
The ability of an AI system to perform tasks traditionally requiring human intelligence.

AI Competition
Strategic rivalry between nations or firms in developing advanced AI technologies.

AI Ethics
Normative principles guiding the responsible development and use of artificial intelligence.

AI Governance
The structures, policies, and processes used to guide and oversee AI development and deployment.

AI Policy
Governmental strategies and regulatory frameworks addressing the development and use of artificial intelligence.

AI Regulation
Legal rules governing the development, deployment, and use of AI systems.

AI Risk
Potential harms arising from the development or deployment of AI technologies.

AI Safety
Technical and policy approaches aimed at preventing unintended harm from AI systems.

AI Standards
Technical specifications and guidelines that ensure consistency, safety, and interoperability in AI systems.

B

Big Data
Extremely large datasets that may be analyzed computationally to reveal patterns, trends, and associations.

Bias Mitigation
Techniques used to reduce unfair discrimination in AI systems.

Binding Regulation
Legal rules that are mandatory and enforceable.

C

Capacity Building
Efforts to strengthen institutional or technical capabilities for governing AI technologies.

Compute Governance
Policies regulating access to large-scale computing resources required to develop advanced AI systems.

Compliance Framework
Structures designed to ensure adherence to laws, regulations, and standards.

Cross-border Data Flow
Movement of digital data across national borders.

Cybersecurity
Protection of digital systems from attacks or unauthorized access.

Cyber Diplomacy
Diplomatic efforts focused on cybersecurity and digital governance issues.

D

Data Governance
Policies and practices that manage data availability, usability, integrity, and security.

Data Localization
Regulatory requirement that certain data must be stored or processed within a country.

Data Protection
Legal frameworks designed to safeguard personal information.

Deep Learning
A subset of machine learning using neural networks with many layers.

Digital Sovereignty
The ability of states to control digital infrastructure and data within their borders.

Dual-Use Technology
Technology that can be used for both civilian and military purposes.

E

Ethical AI
AI systems designed and deployed according to ethical principles such as fairness and transparency.

Explainable AI (XAI)
AI systems whose decisions can be understood and interpreted by humans.

Export Controls
Government regulations limiting the export of sensitive technologies.

F

Fairness in AI
The principle that AI systems should not produce discriminatory or unjust outcomes.

Federated Learning
A machine learning technique where models are trained across multiple decentralized devices without sharing raw data.

Foundation Models
Large AI models trained on broad datasets that can be adapted for multiple tasks.

Frontier AI
Highly advanced AI systems at the cutting edge of technological development.

G

General-Purpose AI
AI systems capable of performing a wide range of tasks across different domains.

Global AI Governance
International frameworks and cooperation mechanisms for regulating AI.

Governance Framework
Structured set of rules and institutions guiding technology oversight.

H

Human-Centered AI
An approach emphasizing that AI systems should enhance human well-being and capabilities.

Human-in-the-Loop (HITL)
Systems where human oversight remains part of the decision-making process.

I

Impact Assessment
Evaluation of potential social, economic, or environmental consequences of a technology.

Interoperability
The ability of systems or technologies to work together effectively.

International Norms
Shared expectations about acceptable behavior among states.

L

Legal Liability in AI
Responsibility for damages caused by AI systems.

Lifecycle Governance
Oversight covering the entire lifecycle of an AI system from development to deployment.

M

Machine Learning (ML)
A subset of AI where algorithms improve performance through data.

Model Governance
Policies regulating the development, evaluation, and deployment of AI models.

Multilateral Governance
International cooperation among multiple states.

N

National AI Strategy
A government's strategic plan for AI development and governance.

Norm-Setting
The creation of shared principles guiding international behavior.

O

Open Source AI
AI systems whose source code is publicly available.

Operational Risk
Risks arising from failures in systems, processes, or human factors.

P

Privacy-Preserving AI
Techniques designed to protect personal data while enabling AI analysis.

Public-Private Partnership (PPP)
Collaboration between government and private sector organizations.

R

Responsible AI
AI systems developed with ethical considerations, transparency, and accountability.

Risk-Based Regulation
Regulatory frameworks that classify technologies according to their risk levels.

Robustness
The ability of an AI system to function reliably under varied conditions.

S

Safety Assurance
Verification that a system meets safety requirements.

Soft Law
Non-binding principles, guidelines, or declarations influencing behavior.

Strategic Technology
Technologies considered critical for national security or economic competitiveness.

Standardization
The process of developing technical standards.

T

Technology Governance
Policies and institutions guiding technological development.

Technology Transfer
Movement of knowledge, skills, or technologies between organizations or countries.

Transparency
The ability to understand how an AI system functions and makes decisions.

Trustworthy AI
AI systems that are lawful, ethical, and technically robust.

U

UN AI Governance Initiatives
Global efforts led by the United Nations to coordinate AI regulation.

V

Verification Mechanisms
Procedures used to ensure compliance with regulations or agreements.

W

Whole-of-Government Approach
Coordinated policy strategy involving multiple government agencies.

X

X-Risk (Existential Risk)
Risks that could threaten the survival of humanity, sometimes discussed in the context of advanced AI.

Z

Zero-Trust Architecture
Cybersecurity framework where no user or system is automatically trusted.