BSL Glossary -
Artificial Intelligence curriculum terms

A to Z

Subtopics

AGI (Artificial General Intelligence) Artificial Intelligence (AI) Deep Learning Foundation Model Frontier AI Generative AI (GenAI) Machine Learning (ML) Neural Network
Data-driven Reinforcement Learning Rule-based/Symbolic AI Supervised Learning Unsupervised Learning
AI Agent Decision Trees Diffusion Model Foundation Model Generative Adversarial Networks (GANs) Knowledge Graph Large Language Model (LLM) Linear Regression Model Multimodal Model Reasoning Model Small Language Model
Crawling Data Bias Data Centres Data Cleaning Data Collection Data Poisoning Scraping Training Data
Fitting Inference Iterate Matrix Model Parameters Model Weights Optimise Over-fitting Prediction Stochastic Training Under-fitting Vector
Chatbot Context Window Knowledge Graph Natural Language Processing (NLP) Prompt Prompt Engineering Speech-to-Text Text-to-Speech Token Voice Assistant
Audio Recognition Computer Vision Image Recognition Perception Sign Language Recognition Video Recognition Voice Recognition
Breadth-first Search Class Classification Classifier Cluster Depth-first Search Linear Regression Nearest-Neighbour
Collaborative Filtering Content-based Filtering Recommender System
Accountability AI Alignment AI Project Lifecycle Algorithmic Bias Bias/Biased Ethics Guardrails Human-in-the-Loop
Accuracy Black Box Confidence Confidence Threshold Explainability Hallucination Interpretability Reproducibility Sycophancy Transparency
AI Psychosis AI Slop Deepfake Disinformation Emulated Empathy Misinformation
AI Generated Content AI Literacy Anthropomorphism Avatar Robot
API (Application Programming Interface) Data Centres GPU (Graphics Processing Unit)

A to Z of Artificial Intelligence Terms

Accountability Accuracy AGI (Artificial General Intelligence) AI Agent AI Alignment AI Generated Content AI Literacy AI Project Lifecycle AI Psychosis AI Slop Algorithmic Bias Anthropomorphism API (Application Programming Interface) Artificial Intelligence (AI) Audio Recognition Avatar
Bias / Biased Black Box Breadth-first Search
Chatbot Class Classification Classifier Cluster Collaborative Filtering Computer Vision Confidence Confidence Threshold Content-based Filtering Context Window Crawling
Data Bias Data Centres Data Cleaning Data Collection Data Poisoning Data-driven Decision Trees Deep Learning Deepfake Depth-first Search Diffusion Model Disinformation
Emulated Empathy Ethics Explainability
Fitting Foundation Model Frontier AI
Generative Adversarial Networks (GANs) Generative AI (GenAI) GPU (Graphics Processing Unit) Guardrails
Hallucination Human-in-the-Loop
Image Recognition Inference Interpretability Iterate
K-Nearest-Neighbour (KNN) Knowledge Graph
Large Language Model (LLM) Linear Regression
Machine Learning (ML) Matrix Misinformation Model Model Parameters Model Weights Multimodal Model
Natural Language Processing (NLP) Nearest-Neighbour (KNN) Neural Network
Optimise Over-fitting
Perception Prediction Prompt Prompt Engineering
Reasoning Model Recommender System Reinforcement Learning Reproducibility Robot Rule-based / Symbolic AI
Scraping Sign Language Recognition Small Language Model Speech-to-Text Stochastic Supervised Learning Sycophancy Symbolic / Rule-based AI
Text-to-Speech Token Training Training Data Transparency
Under-fitting Unsupervised Learning
Vector Video Recognition Voice Assistant Voice Recognition
 

Research

The team have presented Bridging the Gap – A BSL Glossary for Artificial Intelligence at the 1st International Deaf Tech Conference, Vienna in 2026.

Click the image to see the PDF version.

Funding

This project was funded by:

The Royal Society

Acknowledgements

We would like to thank the Royal Society and Taymar Pyrke for their support in reviewing and confirming the AI terminology and groupings used throughout this resource.

Sign Development Team

  • Audrey Cameron
  • Kate Farrell
  • Ben Fletcher
  • Billy-Jack Gerrard
  • Ben Glover
  • Pauline Jordan
  • Katherine O'Grady
  • Gary Quinn
  • Ixone Sáenz Paraíso

Administration and technical